id int64 1 302k | paper_id stringlengths 2 9 | text_a stringlengths 385 9.83k | text_b stringlengths 385 9.94k |
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285,597 | 13027309 | on a methodology for discrete–continuous scheduling abstract discrete–continuous problems of scheduling nonpreemptable jobs on parallel machines are considered. the problems arise e.g. when jobs are assigned to multiple parallel processors driven by a common electric, hydraulic or pneumatic power source. existing model... | a parallel hash join algorithm for managing data skew presents a parallel hash join algorithm that is based on the concept of hierarchical hashing, to address the problem of data skew. the proposed algorithm splits the usual hash phase into a hash phase and an explicit transfer phase, and adds an extra scheduling phase... |
159,909 | 16339729 | authentication metric analysis and design authentication using a path of trusted intermediaries, each able to authenicate the next in the path, is a well-known technique for authenicating entities in a large-scale system. recent work has extended this technique to include multiple paths in an effort to bolster authenti... | associating metrics to certification paths this paper presents a part of our work on open systems' security in conformance with the x509 framework. the chimaera model tries to cover all x509's lacks specially for what concerns certification authorities ca. although our primary concern was the elaboration of a security ... |
163,292 | 35378255 | a novel architecture based on cloud computing for wireless sensor network wireless sensor network (wsn) is widely applied in many fields since its emergence. however, the limited resources of a sensor, especially limited battery life, limited bandwidth and limited processing power, are the main challenges for deploying... | an integrated framework for managing sensor data uncertainty using cloud computing in recent years, an increasing number of data-intensive applications deal with continuously changing data objects (ccdos), such as data streams from sensors and tracking devices. in these applications, the underlying data management syst... |
275,929 | 4368567 | using hidden markov models for topic segmentation of meeting transcripts in this paper, we present a hidden markov model (hmm) approach to segment meeting transcripts into topics. to learn the model, we use unsupervised learning to cluster the text segments obtained from topic boundary information. using modified windi... | a texttiling based approach to topic boundary detection in meetings our goal is to automatically detect boundaries between discussions of different topics in meetings. towards this end we adapt the texttiling algorithm [1] to the context of meetings. our features include not only the overlapped words between adjacent w... |
234,410 | 6315573 | synthesis techniques for low-power hard real-time systems on variable voltage processors the energy efficiency of systems-on-a-chip can be much improved if one were to vary the supply voltage dynamically at run time. we describe the synthesis of systems-on-a-chip based on core processors, while treating voltage (and co... | a variable-frequency parallel i/o interface with adaptive power-supply regulation this paper presents a low-power high-speed cmos signaling interface that operates off of an adaptively regulated supply. a feedback loop adjusts the supply voltage on a chain of inverters until the delay through the chain is equal to half... |
145,783 | 879235 | efficient boosted exemplar-based face detection despite the fact that face detection has been studied intensively over the past several decades, the problem is still not completely solved. challenging conditions, such as extreme pose, lighting, and occlusion, have historically hampered traditional, model-based methods.... | probabilistic elastic part model for unsupervised face detector adaptation we propose an unsupervised detector adaptation algorithm to adapt any offline trained face detector to a specific collection of images, and hence achieve better accuracy. the core of our detector adaptation algorithm is a probabilistic elastic p... |
293,412 | 4410840 | localizing objects while learning their appearance learning a new object class from cluttered training images is very challenging when the location of object instances is unknown. previous works generally require objects covering a large portion of the images. we present a novel approach that can cope with extensive cl... | variational bayesian multiple instance learning with gaussian processes gaussian processes (gps) are effective bayesian predictors. we here show for the first time that instance labels of a gp classifier can be inferred in the multiple instance learning (mil) setting using variational bayes. we achieve this via a new c... |
208,087 | 747967 | simulating resistive-bridging and stuck-at faults we present a simulator for resistive bridging and stuck-at faults. in contrast to earlier work, it is based on electrical equations rather than table look-up, thus exposing more flexibility. for the first time, simulation of sequential circuits is dealt with; reciprocal... | precise test generation for resistive bridging faults of cmos combinational circuits in this paper we propose a new method to detect resistive bridging faults by logic testing considering fault effects that depend on the gate threshold voltage and gate input vectors. first we show that some bridging faults can be misse... |
208,061 | 10852707 | a semantic web based framework for social network access control the existence of on-line social networks that include person specific information creates interesting opportunities for various applications ranging from marketing to community organization. on the other hand, security and privacy concerns need to be addr... | a decentralized security framework for web-based social networks the wide diffusion and usage of social networking web sites in the last years have made publicly available a huge amount of possible sensitive information, which can be used by third-parties with purposes different from the ones of the owners of such info... |
83,621 | 71065 | scalable multiagent planning using probabilistic inference multiagent planning has seen much progress with the development of formal models such as dec-pomdps. however, the complexity of these models--nexp-complete even for two agents-- has limited scalability. we identify certain mild conditions that are sufficient to... | monte-carlo expectation maximization for decentralized pomdps we address two significant drawbacks of state-of-the-art solvers of decentralized pomdps (decpomdps): the reliance on complete knowledge of the model and limited scalability as the complexity of the domain grows. we extend a recently proposed approach for so... |
159,081 | 27555889 | max-margin multiple-instance dictionary learning dictionary learning has became an increasingly important task in machine learning, as it is fundamental to the representation problem. a number of emerging techniques specifically include a codebook learning step, in which a critical knowledge abstraction process is carr... | learning discriminative part detectors for image classification and cosegmentation in this paper, we address the problem of learning discriminative part detectors from image sets with category labels. we propose a novel latent svm model regularized by group sparsity to learn these part detectors. starting from a large ... |
49,846 | 16678498 | multiconstrained qos multipath routing in wireless sensor networks sensor nodes are densely deployed to accomplish various applications because of the inexpensive cost and small size. depending on different applications, the traffic in the wireless sensor networks may be mixed with time-sensitive packets and reliabilit... | hybrid geographic routing for flexible energy—delay tradeoff several geographic (or position-based) routing protocols have been proposed for data dissemination in wireless sensor networks. in these protocols, routing is based on the positions of neighboring nodes. in particular, the next-hop node is selected according ... |
252,920 | 52902491 | time characteristics of olfaction in a single breath the transmission of olfactory information together with audiovisual information is now attracting much attention. however, the information is difficult to synchronize because of problems of scent lingering in the air and olfactory adaptation. we aimed at minimizing t... | projection based olfactory display with nose tracking most attempts to realize an olfactory display have involved capturing and synthesizing the odor, processes that still pose many challenging problems. these difficulties are mainly due to the mechanism of human olfaction, in which a set of so-called "primary odors" h... |
181,675 | 5778312 | describing the scene as a whole: joint object detection, scene classification and semantic segmentation in this paper we propose an approach to holistic scene understanding that reasons jointly about regions, location, class and spatial extent of objects, presence of a class in the image, as well as the scene type. lea... | learning for structured prediction using approximate subgradient descent with working sets we propose a working set based approximate sub gradient descent algorithm to minimize the margin-sensitive hinge loss arising from the soft constraints in max-margin learning frameworks, such as the structured svm. we focus on th... |
286,744 | 4957359 | spam, damn spam, and statistics: using statistical analysis to locate spam web pages the increasing importance of search engines to commercial web sites has given rise to a phenomenon we call "web spam", that is, web pages that exist only to mislead search engines into (mis)leading users to certain web sites. web spam ... | identifying link farm pages this invention relates to polymers of quaternary thiazines having the recurrent structure where z is s, so, so2, x is 2 or more, r1 is a hydrocarbon or substituted hydrocarbon, r2 is alkylene, alkenylene, aralkylene, alkylene ether, x is an anion, n is a number from 3-500. these polymers are... |
139,968 | 2859477 | determining the position and orientation of multi-tagged objects using rfid technology the idea of smart shelves or tables equipped with rfid technology has been around for some time now. a number of commercial products are already available, especially for retailing. all presented solutions, however, are designed to o... | dude, where's my card?: rfid positioning that works with multipath and non-line of sight rfids are emerging as a vital component of the internet of things. in 2012, billions of rfids have been deployed to locate equipment, track drugs, tag retail goods, etc. current rfid systems, however, can only identify whether a ta... |
269,272 | 594089 | discussions at the data border: from generalised hypertext to structural computing structural computing grew from the trend in hypertext research towards generalised systems, it asserts the primacy of structure over data. as a philosophy it has been compared to structuralism in anthropology and linguistics and has give... | fohm: a fundamental open hypertext model for investigating interoperability between hypertext domains the open hypermedia systems community has been largely concerned with interoperability between hypertext systems which share the same paradigm. it has evolved a component based framework for this purpose, in which spec... |
17,422 | 4956764 | neuro-fuzzy-genetic controller design for robot manipulators in this paper, a new form of neuro-fuzzy-genetic controller design for rigid-link flexible-joints robot manipulator applications has been presented. the control algorithm uses fuzzy logic with neural membership functions and a rule base without needing the kn... | flexible planetary gear drives in robotics a method of modeling and computation of industrial robots with rigid-link flexible joints actuated by flexible planetary gear drives is presented. joint flexibility, as a predominant source of resource, often results in inaccurate tracking of prescribed robot trajectories. the... |
102,921 | 39932918 | quality estimation based data fusion in wireless sensor networks the main purpose of wireless sensor networks (wsns) is to obtain information about their environment. however, wsns often produce imprecise and incorrect sensor data, e.g. because of sensor failure or unreliable radio communication. we propose a system fo... | quality-of-information modeling and adapting for delay-sensitive sensor network applications acceptable quality-of-information(qoi) is essential for sensor network applications such as infrastructure health monitoring because it directly impacts public safety. however, it is a challenging problem to attain good qoi of ... |
121,738 | 56895387 | zero-shot classification with discriminative semantic representation learning zero-shot learning, a special case of unsupervised domain adaptation where the source and target domains have disjoint label spaces, has become increasingly popular in the computer vision community. in this paper, we propose a novel zero-shot... | transductive unbiased embedding for zero-shot learning most existing zero-shot learning (zsl) methods have the strong bias problem, in which instances of unseen (target) classes tend to be categorized as one of the seen (source) classes. so they yield poor performance after being deployed in the generalized zsl setting... |
252,751 | 16260897 | quality prediction and assessment for product lines in recent years, software product lines have emerged as a promising approach to improve software development productivity in it industry. in the product line approach, we identify both commonalities and variabilities in a domain, and build generic assets for an organi... | early reliability assessment of uml based software models the ability to validate software systems early in the development lifecycle is becoming crucial. while early validation of functional requirements is supported by well known approaches, the validation of non-functional requirements, such as reliability, is not. ... |
110,057 | 58951924 | kriging model based many-objective optimization with efficient calculation of expected hypervolume improvement the many-objective optimization performance of using expected hypervolume improvement (ehvi) as the updating criterion of the kriging surrogate model is investigated, and compared with those of using expected ... | kriging-surrogate-based optimization considering expected hypervolume improvement in non-constrained many-objective test problems this paper presents a comparison of the criteria for updating the kriging surrogate models in surrogate-based non-constrained many-objective optimization: expected improvement (ei), expected... |
174,552 | 22483874 | overclocking the yahoo!: cdn for faster web page loads fast-loading web pages are key for a positive user experience. unfortunately, a large number of users suffer from page load times of many seconds, especially for pages with many embedded objects. most of this time is spent fetching the page and its objects over the... | internet congestion control via deep reinforcement learning we present and investigate a novel and timely application domain for deep reinforcement learning (rl): internet congestion control. congestion control is the core networking task of modulating traffic sources' data-transmission rates to efficiently utilize net... |
281,231 | 13183581 | sharing the small cells for energy efficient networking: how much does it cost? the explosive data traffic demands stress the need for additional capacity in cellular systems, which can be achieved through the exploitation of small cells (scs). however, the deployment of scs implies higher energy consumption in the net... | bayesian mechanism based inter-operator base station sharing for energy saving in cellular networks, the coverage of base stations (bss) belonging to different operators often overlaps. as a result, when the traffic load is lower than the peak volume, there are opportunities to turn off a subset of bss to save power, p... |
112,964 | 5050597 | workspace awareness in real-time distributed groupware: framework, widgets, and evaluation most conventional groupware systems only support cooperative work in wysiwis (what you see is what i see) or relaxed-wysiwis condition. although the wysiwis principle enables users to receive awareness information easily, it also... | collaborative activity and technological design: task coordination in london underground control rooms despite technical advances in cscw over the past few years we still have relatively little understanding of the organisation of collaborative activity in real world, technologically supported, work environments. indee... |
52,968 | 57832629 | cost-driven scheduling of grid workflows using partial critical paths recently, utility grids have emerged as a new model of service provisioning in heterogeneous distributed systems. in this model, users negotiate with service providers on their required quality of service and on the corresponding price to reach a ser... | energy-aware workflow scheduling using frequency scaling dynamic voltage and frequency scaling (dvfs) is a power management technique used to decrease the processor frequency and minimize power consumption in modern computing systems. this may lead to higher energy savings for large-scale computational problems, with s... |
74,022 | 126819 | sparse convolutional neural networks deep neural networks have achieved remarkable performance in both image classification and object detection problems, at the cost of a large number of parameters and computational complexity. in this work, we show how to reduce the redundancy in these parameters using a sparse decom... | classifier based graph construction for video segmentation video segmentation has become an important and active research area with a large diversity of proposed approaches. graph-based methods, enabling top-performance on recent benchmarks, consist of three essential components: 1. powerful features account for object... |
288,458 | 45696801 | rpj: producing fast join results on streams through rate-based optimization we consider the problem of "progressively" joining relations whose records are continuously retrieved from remote sources through an unstable network that may incur temporary failures. the objectives are to (i) start reporting the first output ... | rrpj: result-rate based progressive relational join progressive join algorithms are join algorithms that produce results incrementally as input data is available. because they are nonblocking, they are particularly suitable for online processing of data streams. reference algorithms of this family are the symmetric has... |
277,938 | 9635555 | automatic alignment and error correction of human generated transcripts for long speech recordings in this paper we examine the issues of aligning and correcting approximate human generated transcripts for long audio files. accurate time-aligned transcriptions help provide easier access to audio materials by aiding dow... | sailalign: robust long speech-text alignment long speech-text alignment can facilitate large-scale stu dy of rich spoken language resources that have recently become widely accessible, e.g., collections of audio books, or mul timedia documents. for such resources, the conventional viterbibased forced alignment may ofte... |
99,600 | 1225534 | learning to recognize tables in free text many real-world texts contain tables. in order to process these texts correctly and extract the information contained within the tables, it is important to identify the presence and structure of tables. in this paper, we present a new approach that learns to recognize tables in... | table structure understanding and its performance evaluation this paper presents a table structure understanding algorithm designed using optimization methods. the algorithm is probability based, where the probabilities are estimated from geometric measurements made on the various entities in a large training set. the ... |
274,584 | 126819 | continuous visibility feature in this work, we propose a new type of visibility measurement named continuous visibility feature (cvf). we say that a point q on the mesh is continuously visible from another point p if there exists a geodesic path connecting p and q that is entirely visible by p. in order to efficiently ... | absolute pose for cameras under flat refractive interfaces this paper studies the problem of determining the absolute pose of a perspective camera observing a scene through a known refractive plane, the flat boundary between transparent media with different refractive indices. efficient minimal solvers are developed fo... |
263,272 | 20709833 | detecting significant events in personal image collections the organization and retrieval of images and videos is a problem for the typical consumer. a typical image collection includes many pictures of common activities that are not considered to be important by the user. these images inflate the number of assets in a... | time as essence for photo browsing through personal digital libraries we developed two photo browsers for collections with thousands of time-stamped digital images. modern digital cameras record photo shoot times, and semantically related photos tend to occur in bursts. our browsers exploit the timing information to st... |
221,678 | 209516411 | large scale distributed deep networks recent work in unsupervised feature learning and deep learning has shown that being able to train large models can dramatically improve performance. in this paper, we consider the problem of training a deep network with billions of parameters using tens of thousands of cpu cores. w... | distributed graphlab: a framework for machine learning in the cloud while high-level data parallel frameworks, like mapreduce, simplify the design and implementation of large-scale data processing systems, they do not naturally or efficiently support many important data mining and machine learning algorithms and can le... |
79,069 | 5458255 | structuring the product line modeling space: strategies and examples pct no. pct/ep85/00571 sec. 371 date aug. 11, 1986 sec. 102(e) date aug. 11, 1986 pct filed oct. 28, 1985 pct pub. no. wo86/02577 pct pub. date may 9, 1986.a device for continuously introducing a gas into a liquid, in connection with a flotation opera... | model superimposition in software product lines in software product line engineering, feature composition generates software tailored to specific requirements from a common set of artifacts. superimposition is a technique to merge code pieces belonging to different features. the advent of model-driven development raise... |
30,278 | 102351348 | future directions for behavioral information security research information security (infosec) research is far reaching and includes many approaches to deal with protecting and mitigating threats to the information assets and technical resources available within computer based systems. although a predominant weakness in... | behavioral and policy issues in information systems security: the insider threat modern global economic and political conditions, technological infrastructure, and socio-cultural developments all contribute to an increasingly turbulent and dynamic environment for organizations, which maintain information systems (is) f... |
107,646 | 7696832 | modern b-tree techniques invented about 40 years ago and called ubiquitous less than 10 years later, b-tree indexes have been used in a wide variety of computing systems from handheld devices to mainframes and server farms. over the years, many techniques have been added to the basic design in order to improve efficien... | transactional support for adaptive indexing adaptive indexing initializes and optimizes indexes incrementally, as a side effect of query processing. the goal is to achieve the benefits of indexes while hiding or minimizing the costs of index creation. however, index-optimizing side effects seem to turn read-only querie... |
59,508 | 16368787 | a new methodology (con-info) for context-based development of a mobile user interface in healthcare applications mobile technology is an integral part of the modern healthcare environment. in pervasive healthcare, the mobile user interface (mui) serves as the bridge between the application and the healthcare profession... | exploring the critical factors influencing the quality of blog interfaces using the decision-making trial and evaluation laboratory dematel method many studies have shown the significance of a good user interface in affecting a blogger's decision to select a platform for their blog and a reader's decision to read one, ... |
5,007 | 584669 | projection-based approaches for model reduction of weakly nonlinear, time-varying systems the problem of automated macromodel generation is interesting from the viewpoint of system-level design because if small, accurate reduced-order models of system component blocks can be extracted, then much larger portions of a de... | compact model order reduction of weakly nonlinear systems by associated transform summary ::: ::: we advance a recently proposed approach, called the associated transform, for computing slim projection matrices serving high-order volterra transfer functions in the context of weakly nonlinear model order reduction (nmor... |
40,600 | 4777906 | temporal convolutional networks for action segmentation and detection the ability to identify and temporally segment fine-grained human actions throughout a video is crucial for robotics, surveillance, education, and beyond. typical approaches decouple this problem by first extracting local spatiotemporal features from... | temporal action detection using a statistical language model while current approaches to action recognition on presegmented video clips already achieve high accuracies, temporal action detection is still far from comparably good results. automatically locating and classifying the relevant action segments in videos of v... |
100,394 | 18820568 | a model-based approach for testing the performance of web applications poor performance of web-based systems can adversely impact the profitability of enterprises that rely on them. as a result, effective performance testing techniques are essential for understanding whether a web-based system will meet its performance... | model-based performance testing (nier track) in this paper, we present a method for performance testing of transactional systems. the methods models the system under test, finds the software and hardware bottlenecks and generate the workloads that saturate them. the framework is adaptive, the model and workloads are de... |
116,708 | 203980463 | lte security, protocol exploits and location tracking experimentation with low-cost software radio the long term evolution (lte) is the latest mobile standard being implemented globally to provide connectivity and access to advanced services for personal mobile devices. moreover, lte networks are considered to be one o... | easy 4g/lte imsi catchers for non-programmers imsi catchers are tracking devices that break the privacy of the subscribers of mobile access networks, with disruptive effects to both the communication services and the trust and credibility of mobile network operators. recently, we verified that imsi catcher attacks are ... |
293,014 | 174801039 | towards learning-aided configuration in 3d printing: feasibility study and application to defect prediction configurators rely on logical constraints over parameters to aid users and determine the validity of a configuration. however, for some domains, capturing such configuration knowledge is hard, if not infeasible. ... | learning to sample: exploiting similarities across environments to learn performance models for configurable systems most software systems provide options that allow users to tailor the system in terms of functionality and qualities. the increased flexibility raises challenges for understanding the configuration space ... |
84,568 | 49728621 | topical authority identification in community question answering in this paper, we address the problem of authority identification in community question answering (cqa). most of the existing approaches attempt to identify authorities in cqa by means of link analysis techniques. however, these traditional techniques onl... | routing questions for collaborative answering in community question answering community question answering (cqa) service enables its users to exchange knowledge in the form of questions and answers. by allowing the users to contribute knowledge, cqa not only satisfies the question askers but also provides valuable refe... |
80,022 | 15667929 | extending the concept of transaction compensation the ability to compensate for previous activities, often in the case of failure or exceptional events, is an important feature of long-running business transactions. in this paper, we present several extensions to existing notions of compensation for business transactio... | sock : a calculus for service oriented computing service oriented computing is an emerging paradigm for designing distributed applications where service and composition are the main concepts it is based upon. in this paper we propose sock, a three-layered calculus equipped with a formal semantics, for addressing all th... |
201,986 | 16532946 | managing energy and server resources in hosting centers internet hosting centers serve multiple service sites from a common hardware base. this paper presents the design and implementation of an architecture for resource management in a hosting center operating system, with an emphasis on energy as a driving resource m... | peak efficiency aware scheduling for highly energy proportional servers energy proportionality of data center severs have improved drastically over the past decade to the point where near ideal energy proportional servers are now common. these highly energy proportional servers exhibit the unique property where peak ef... |
235,722 | 62841439 | distributed algorithms for dcop: a graphical-game-based approach this paper addresses the application of distributed constraint optimization problems (dcops) to large-scale dynamic environments. we introduce a decomposition of dcop into a graphical game and investigate the evolution of various stochastic and determinis... | distributed breakout: beyond satisfaction the distributed breakout algorithm (dba) is a local search algorithm that was originally designed to solve discsps and dismaxcsps. extending it to general-valued dcops requires three design choices: manner of modifying base costs (multiplicative weights or additive penalties); ... |
82,425 | 7524915 | multi-view pictorial structures for 3d human pose estimation pictorial structure models are the de facto standard for 2d human pose estimation. numerous refinements and improvements have been proposed such as discriminatively trained body part detectors, flexible body models, and local and global mixtures. while these ... | articulated pose estimation with flexible mixtures-of-parts we describe a method for human pose estimation in static images based on a novel representation of part models. notably, we do not use articulated limb parts, but rather capture orientation with a mixture of templates for each part. we describe a general, flex... |
109,159 | 141637 | issues in data stream management traditional databases store sets of relatively static records with no pre-defined notion of time, unless timestamp attributes are explicitly added. while this model adequately represents commercial catalogues or repositories of personal information, many current and emerging application... | the cql continuous query language: semantic foundations and query execution cql, a continuous query language, is supported by the stream prototype data stream management system (dsms) at stanford. cql is an expressive sql-based declarative language for registering continuous queries against streams and stored relations... |
166,978 | 3870927 | solutions for real chip implementation issues of noc and their application to memory-centric noc this paper describes real chip implementation issues of network-on-chip (noc) and their solutions along with series of chip design examples. the solutions described in this paper cover both architectural aspects and circuit... | an 81.6 gops object recognition processor based on noc and visual image processing memory an 81.6 gops object recognition processor is developed by using noc and visual image processing (vip) memory. sift (scale invariant feature transform) object recognition requires huge computing power and data transactions among ta... |
83,711 | 440672 | scalable name disambiguation using multi-level graph partition when non-unique values are used as the identifier of entities, due to their homonym, confusion can occur. in particular, when (part of) “names” of entities are used as their identifier, the problem is often referred to as the name disambiguation problem, wh... | social network extraction of academic researchers this paper addresses the issue of extraction of an academic researcher social network. by researcher social network extraction, we are aimed at finding, extracting, and fusing the 'semantic '-based profiling information of a researcher from the web. previously, social n... |
172,070 | 16254664 | estimating clustering indexes in data streams we present random sampling algorithms that with probability at least 1 - δ compute a (1 ± ɛ)-approximation of the clustering coefficient and of the number of bipartite clique subgraphs of a graph given as an incidence stream of edges. the space used by our algorithm to esti... | on the streaming complexity of computing local clustering coefficients due to a large number of applications, the problem of estimating the number of triangles in graphs revealed as a stream of edges, and the closely related problem of estimating the graph's clustering coefficient, have received considerable attention ... |
134,295 | 17502480 | optimized caching in systems with heterogeneous client populations an important question in providing on-demand access to large widely shared data files, such as popular video files, is how to effectively use regional (proxy) servers that can store some of the data close to the clients. the proxy caching problem is mor... | multicast with cache (mcache): an adaptive zero-delay video-on-demand service this paper presents a closed-loop (demand-driven) approach towards vod services, called multicast with caching (mcache). servers use multicast to reduce bandwidth usage by serving multiple requests using a single data stream. however, this re... |
194,963 | 53333965 | centralized channel assignment and routing algorithms for multi-channel wireless mesh networks the ieee 802.11 wireless lan standards allow multiple non-overlapping frequency channels to be used simultaneously to increase the aggregate bandwidth available to end-users. such bandwidth aggregation capability is routinely... | a genetic approach to channel assignment for multi-radio multi-channel wireless mesh networks multi-channel communication in a wireless mesh network with routers having multiple radio interfaces significantly enhances the network capacity. efficient channel assignment is critical for realization of optimal throughput i... |
43,721 | 212646398 | better cross company defect prediction how can we find data for quality prediction? early in the life cycle, projects may lack the data needed to build such predictors. prior work assumed that relevant training data was found nearest to the local project. but is this the best approach? this paper introduces the peters ... | robust classification for imprecise environments" machine learning 42 suction head in a sheet feed system for sheet processing machines includes a drive shaft mounting a cam disc, a lever system periodically driven by the cam disc against the bias of a spring, separating suckers for raising sheets from a pile thereof a... |
146,096 | 15625704 | relay-based deployment concepts for wireless and mobile broadband radio in recent years, there has been an upsurge of interest in multihop-augmented infrastructure-based networks in both the industry and academia, such as the seed concept in 3gpp, mesh networks in ieee 802.16, and converge extension of hiperlan/2 throu... | on the uplink capacity of an 802.16j system a multihop relay extension for ieee 802.16e systems is the subject of ongoing standardization activities within the ieee 802.16j task group. the emerging ieee 802.16j standard enhances the 802.16e phy and mac to enable support of multihop routes between a mobile station and a... |
137,699 | 208305128 | a handover prediction mechanism based on lte-a ue history information in response to the rapidly developing of wireless communication technology, the deployed of enb is denser and more complex. the research of how to handover accurately and fast in lte-a are discussed much in recent years. in 3gpp release 8, the ue his... | a low-latency and energy efficient forward handover scheme for lte-femtocell networks femtocells are small, inexpensive, low power cell sites, which are used to improve indoor capacity and coverage. they are generally consumer deployed and are connected to their own wired broadband backhaul connections. a large number ... |
235,967 | 1708985 | catchsync: catching synchronized behavior in large directed graphs given a directed graph of millions of nodes, how can we automatically spot anomalous, suspicious nodes, judging only from their connectivity patterns? suspicious graph patterns show up in many applications, from twitter users who buy fake followers, man... | corescope: graph mining using k-core analysis — patterns, anomalies and algorithms how do the k-core structures of real-world graphs look like? what are the common patterns and the anomalies? how can we use them for algorithm design and applications? a k-core is the maximal subgraph where all vertices have degree at le... |
147,925 | 13709071 | smart (strategic memory allocation for real-time) cache design using the mips r3000 smart, a technique for providing predictable cache performance for real-time systems with priority-based preemptive scheduling, is presented. the technique is implemented in a r3000 cache design. the value density acceleration (vda) cac... | cqos: a framework for enabling qos in shared caches of cmp platforms cache hierarchies have been traditionally designed for usage by a single application, thread or core. as multi-threaded (mt) and multi-core (cmp) platform architectures emerge and their workloads range from single-threaded and multithreaded applicatio... |
214,552 | 17281265 | new directions in traffic measurement and accounting: focusing on the elephants, ignoring the mice accurate network traffic measurement is required for accounting, bandwidth provisioning and detecting dos attacks. these applications see the traffic as a collection of flows they need to measure. as link speeds and the n... | finding frequent items in data streams we present a 1-pass algorithm for estimating the most frequent items in a data stream using limited storage space. our method relies on a data structure called a count sketch, which allows us to reliably estimate the frequencies of frequent items in the stream. our algorithm achie... |
159,376 | 18357676 | cross-language information retrieval based on parallel texts and automatic mining of parallel texts from the web this paper describes the use of a probabilistic translation model to cross-language ir (clir). the performance of this approach is compared with that using machine translation (mt). it is shown that using a ... | mining bilingual data from the web with adaptively learnt patterns mining bilingual data (including bilingual sentences and terms) from the web can benefit many nlp applications, such as machine translation and cross language information retrieval. in this paper, based on the observation that bilingual data in many web... |
259,480 | 196471151 | secure-tws: authenticating node to multi-user communication in shared sensor networks recent works have shown the usefulness of network and application layer protocols that connect low power sensor nodes directly to multiple applications and users on the internet. we propose a security solution for this scenario. while... | eta: efficient and tiny and authentication for heterogeneous wireless systems authentication and integrity are vital security services for wireless ubiquitous systems, which require various resource-constrained devices to operate securely and efficiently. digital signatures are basic cryptographic tools to provide thes... |
238,772 | 55700673 | research methods in human-computer interaction continual technological evolution has led to an explosion of new techniques in human-computer interaction (hci) research. research methods in human-computer interaction is a thoroughly comprehensive guide to performing research and is essential reading for both quantitativ... | human-computer interaction: an empirical research perspective human-computer interaction: an empirical research perspective is the definitive guide to empirical research in hci. the book begins with foundational topics including historical context, the human factor, interaction elements, and the fundamentals of science... |
149,006 | 84837713 | cellular traffic offloading via opportunistic networking with reinforcement learning the widespread diffusion of mobile phones is triggering an exponential growth of mobile data traffic that is likely to cause, in the near future, considerable traffic overload issues even in last-generation cellular networks. offloadin... | benchmarking and modeling of routing protocols for delay tolerant networks delay tolerant networks (dtn) are deployed to establish communications in challenging environments with frequent disruptions and delays due to intermittently connecting nodes, such as sparsely distributed wireless sensor networks and mobile ad h... |
151,057 | 1317975 | exploiting syntactic analysis of queries for information retrieval up to now, the results of applying sophisticated nl techniques to information retrieval (ir) have been mostly disappointing. our research aims at investigating in detail the role of syntactic analysis in ir and at finding answers to the question why it ... | corpus-based learning of compound noun indexing in this paper, we present a corpus-based learning method that can index diverse types of compound nouns using rules automatically extracted from a large tagged corpus. we develop an efficient way of extracting the compound noun indexing rules automatically and perform ext... |
64,152 | 6773444 | fuzzy support vector machines for pattern recognition and data mining a high-frequency device, comprising a number of solenoid coils which are arranged in a row along the edge of a board. parallel to the row of coils there is provided a plate which extends perpendicularly to the board and which is provided with apertur... | support vector machines for texture classification this paper investigates the application of support vector machines (svms) in texture classification. instead of relying on an external feature extractor, the svm receives the gray-level values of the raw pixels, as svms can generalize well even in high-dimensional spac... |
95,836 | 55772289 | exploration of automatic optimization for cuda programming graphic processing units (gpus) are gaining ground in high-performance computing. cuda (an extension to c) is most widely used parallel programming framework for general purpose gpu computations. however, the task of writing optimized cuda program is complex ev... | parallel computing with cuda nvidia's cuda architecture provides a powerful platform for writing highly parallel programs. by providing simple abstractions for hierarchical thread organization, memories, and synchronization, the cuda programming model allows programmers to write scalable programs without the burden of ... |
81,237 | 36659074 | managing dependent changes in coupled evolution in model-driven engineering models and metamodels are not preserved from the evolutionary pressure which inevitably affects almost any artefacts. moreover, the coupling between models and metamodels implies that when a metamodel undergoes a modification, the conforming mo... | cope: a workbench for the coupled evolution of metamodels and models model-driven software development promises to increase productivity by offering modeling languages tailored to a problem domain. consequently, an increasing number of modeling languages are built using metamodel-based language workbenches. in response... |
200,810 | 755058 | weighted hybrid recommendation for heterogeneous networks social media sites accumulate a wide variety of information about users: likes and ratings, friend and follower links, annotations, posts, media uploads, just to name a few. key challenges for recommender systems research are (a) to synthesize of all of this dat... | predicting component utilities for linear-weighted hybrid recommendation an eective technique for recommendation in social media and other heterogeneous networks is the weighted hybrid of low-dimensional components (whyldr). recent studies have shown this technique is comparable to other integrative approaches while be... |
202,945 | 53714731 | gyro-based multi-image deconvolution for removing handshake blur image deblurring to remove blur caused by camera shake has been intensively studied. nevertheless, most methods are brittle and computationally expensive. in this paper we analyze multi-image approaches, which capture and combine multiple frames in order ... | image deblurring using smartphone inertial sensors removing image blur caused by camera shake is an ill-posed problem, as both the latent image and the point spread function (psf) are unknown. a recent approach to address this problem is to record camera motion through inertial sensors, i.e., gyroscopes and acceleromet... |
140,406 | 26882126 | a key-management scheme for distributed sensor networks distributed sensor networks (dsns) are ad-hoc mobile networks that include sensor nodes with limited computation and communication capabilities. dsns are dynamic in the sense that they allow addition and deletion of sensor nodes after deployment to grow the networ... | enhancing the key pre-distribution scheme on wireless sensor networks the communication of a wireless sensor network can be eaves dropped quite easily due to its properties, thereby requiring a security mechanism. adding a key management scheme on the wireless sensor network is a kind of solution. this paper proposes a... |
251,842 | 8497672 | query expansion with locally-trained word embeddings continuous space word embeddings have received a great deal of attention in the natural language processing and machine learning communities for their ability to model term similarity and other relationships. we study the use of term relatedness in the context of que... | learning to reweight terms with distributed representations term weighting is a fundamental problem in ir research and numerous weighting models have been proposed. proper term weighting can greatly improve retrieval accuracies, which essentially involves two types of query understanding: interpreting the query and jud... |
190,232 | 4800341 | an information security governance framework information security culture develops in an organization due to certain actions taken by the organization. management implements information security components, such as policies and technical security measures with which employees interact and that they include in their wor... | current challenges in information security risk management purpose – the purpose of this paper is to give an overview of current risk management approaches and outline their commonalities and differences, evaluate current risk management approaches regarding their capability of supporting cost-efficient decisions witho... |
193,293 | 33742407 | sensor positioning in wireless ad-hoc sensor networks using multidimensional scaling sensor positioning is a fundamental and crucial issue for sensor network operation and management. in the paper, we first study some situations where most existing sensor positioning methods tend to fail to perform well, an example bei... | neural network based mobile phone localization using bluetooth connectivity location information is useful for mobile phones. there exists a dilemma between the relatively high price of gps devices and the dependence of location information acquisition on gps for most phones in current stage. to tackle this problem, in... |
297,295 | 252821 | ergodicity and throughput bounds of petri nets with unique consistent firing count vector ergodicity and throughput bound characterization are addressed for a subclass of timed and stochastic petri nets, interleaving qualitative and quantitative theories. the nets considered represent an extension of the well-known sub... | operational analysis of timed petri nets and application to the computation of performance bounds operational analysis techniques are used to partially characterize the behavior of timed petri nets under very weak assumptions on their timing semantics. new operational inequalities are derived that are typical of the pr... |
52,673 | 689238 | multi-scale patch aggregation (mpa) for simultaneous detection and segmentation aiming at simultaneous detection and segmentation (sd-s), we propose a proposal-free framework, which detect and segment object instances via mid-level patches. we design a unified trainable network on patches, which is followed by a fast a... | iterative instance segmentation existing methods for pixel-wise labelling tasks generally disregard the underlying structure of labellings, often leading to predictions that are visually implausible. while incorporating structure into the model should improve prediction quality, doing so is challenging - manually speci... |
88,629 | 126819 | dasc: dense adaptive self-correlation descriptor for multi-modal and multi-spectral correspondence establishing dense visual correspondence between multiple images is a fundamental task in many applications of computer vision and computational photography. classical approaches, which aim to estimate dense stereo and op... | deep hashing for compact binary codes learning in this paper, we propose a new deep hashing (dh) approach to learn compact binary codes for large scale visual search. unlike most existing binary codes learning methods which seek a single linear projection to map each sample into a binary vector, we develop a deep neura... |
210,127 | 6462124 | transparent, lightweight application execution replay on commodity multiprocessor operating systems we present scribe, the first system to provide transparent, low-overhead application record-replay and the ability to go live from replayed execution. scribe introduces new lightweight operating system mechanisms, rendez... | jockey: a user-space library for record-replay debugging jockey is an execution record/replay tool for debugging linux programs. it records invocations of system calls and cpu instructions with timing-dependent effects and later replays them deterministically. it supports process checkpointing to diagnose long-running ... |
198,597 | 29914846 | towards providing on-demand expert support for software developers software development is an expert task that requires complex reasoning and the ability to recall language or api-specific details. in practice, developers often seek support from ide tools, web resources, or other developers to help fill in gaps in thei... | the motivations and experiences of the on-demand mobile workforce on-demand mobile workforce applications match physical world tasks and willing workers. these systems offer to help conserve resources, streamline courses of action, and increase market efficiency for micro- and mid-level tasks, from verifying the existe... |
98,738 | 2033252 | guaranteed bandwidth using looped containers in temporally disjoint networks within the nostrum network on chip in today's emerging network-on-chips, there is a need for different traffic classes with different quality-of-service guarantees. within our noc architecture nostrum, we have implemented a service of guarante... | an efficient on-chip ni offering guaranteed services, shared-memory abstraction, and flexible network configuration we present a network interface (ni) for an on-chip network. our ni decouples computation from communication by offering a shared-memory abstraction, which is independent of the network implementation. we ... |
173,131 | 174799008 | on the uses of word sense change for research in the digital humanities with advances in technology and culture, our language changes. we invent new words, add or change meanings of existing words and change names of existing things. unfortunately, our language does not carry a memory; words, expressions and meanings u... | that's sick dude!: automatic identification of word sense change across different timescales in this paper, we propose an unsupervised method to identify noun sense changes based on rigorous analysis of time-varying text data available in the form of millions of digitized books. we construct distributional thesauri bas... |
70,233 | 8531263 | virtuoso: narrowing the semantic gap in virtual machine introspection introspection has featured prominently in many recent security solutions, such as virtual machine-based intrusion detection, forensic memory analysis, and low-artifact malware analysis. widespread adoption of these approaches, however, has been hampe... | ether: malware analysis via hardware virtualization extensions malware has become the centerpiece of most security threats on the internet. malware analysis is an essential technology that extracts the runtime behavior of malware, and supplies signatures to detection systems and provides evidence for recovery and clean... |
172,333 | 18826116 | hamming embedding and weak geometric consistency for large scale image search this paper improves recent methods for large scale image search. state-of-the-art methods build on the bag-of-features image representation. we, first, analyze bag-of-features in the framework of approximate nearest neighbor search. this show... | efficient mining of repetitions in large-scale tv streams with product quantization hashing duplicates or near-duplicates mining in video sequences is of broad interest to many multimedia applications. how to design an effective and scalable system, however, is still a challenge to the community. in this paper, we pres... |
147,995 | 14945489 | cheshire: towards an alice based game development tool this paper presents on-going research that aims to modify the open source 3d programming environment alice in order to adapt it for use as a development tool for teaching game programming. the advantages and disadvantages of the current version of alice for game de... | motivating programming: using storytelling to make computer programming attractive to more middle school girls women are currently under-represented in computer science. increasing the numbers of female students who pursue computer science has the potential both to improve the technology we create by diversifying the v... |
281,600 | 1623934 | using flexible transactions to support multi-system telecommunication applications service order provisioning is an important telecommunication application that automates the process of providing telephone services in response to the customer requests. it is an example of a multi-system application that requires access... | synthesis of extended transaction models using acta acta is a comprehensive transaction framework that facilitates the formal description of properties of extended transaction models. specifically, using acta, one can specify and reason about (1) the effects of transactions on objects and (2) the interactions between t... |
132,759 | 52160439 | tied multitask learning for neural speech translation we explore multitask models for neural translation of speech, augmenting them in order to reflect two intuitive notions. first, we introduce a model where the second task decoder receives information from the decoder of the first task, since higher-level intermediat... | end-to-end automatic speech translation of audiobooks we investigate end-to-end speech-to-text translation on a corpus of audiobooks specifically augmented for this task. previous works investigated the extreme case where source language transcription is not available during learning nor decoding, but we also study a m... |
235,735 | 52191069 | direction of attention perception for conversation initiation in virtual environments we consider the role of gaze and direction of attention for providing embodied agents with the capability of visually perceiving the attention of others in a virtual environment. such a capability is of importance in social environmen... | a spatial model of engagement for a social robot even if a socially interactive robot has perfect information about the location, pose, and movement of humans in the environment, it is unclear how this information should be used to enable the initiation, maintenance, and termination of social interactions. we review mo... |
94,047 | 14228265 | cm-builder: an automated nl-based case tool this paper describes a natural language-based case tool called cm-builder which aims at supporting the analysis stage of software development in an object-oriented framework. cm-builder uses robust natural language processing techniques to analyse software requirements texts ... | conceptual modeling through linguistic analysis using lida despite the advantages that object technology can provide to the software development community and its customers, the fundamental problems associated with identifying objects, their attributes, and methods remain: it is a largely manual process driven by heuri... |
98,822 | 9517078 | citeseer: an autonomous web agent for automatic retrieval and identification of interesting publications research papers available on the world wide web (www or web) areoften poorly organized, often exist in forms opaque to searchengines (e.g. postscript), and increase in quantity daily.significant amounts of time and ... | extracting citation metadata from online publication lists using blast scientific research reports usually contain a list of citations on previous related works. therefore an automatic citation tool is an essential component of a digital library of scientific literatures. due to variations in formats, it is difficult t... |
158,186 | 53560874 | transparent data deduplication in the cloud cloud storage providers such as dropbox and google drive heavily rely on data deduplication to save storage costs by only storing one copy of each uploaded file. although recent studies report that whole file deduplication can achieve up to 50% storage reduction, users do not... | information leakage in encrypted deduplication via frequency analysis encrypted deduplication combines encryption and deduplication to simultaneously achieve both data security and storage efficiency. state-of-the-art encrypted deduplication systems mainly build on deterministic encryption to preserve deduplication eff... |
29,056 | 14700145 | unveiling turbo codes: some results on parallel concatenated coding schemes a parallel concatenated coding scheme consists of two simple constituent systematic encoders linked by an interleaver. the input bits to the first encoder are scrambled by the interleaver before entering the second encoder. the codeword of the ... | interleaver optimization of convolutional turbo code for 802.16 systems convolutional turbo code (ctc) has been adopted as an optional channel coding scheme for wireless metropolitan area networks (wman) and digital video broadcasting (dvb) owing to its powerful error correction capability and flexibility. in spite of ... |
50,479 | 9201894 | relational dependency networks recent work on graphical models for relational data has demonstrated significant improvements in classification and inference when models represent the dependencies among instances. despite its use in conventional statistical models, the assumption of instance independence is contradicted... | cautious inference in collective classification collective classification can significantly improve accuracy by exploiting relationships among instances. although several collective inference procedures have been reported, they have not been thoroughly evaluated for their commonalities and differences. we introduce nov... |
268,998 | 90262094 | saliency detection with recurrent fully convolutional networks deep networks have been proved to encode high level semantic features and delivered superior performance in saliency detection. in this paper, we go one step further by developing a new saliency model using recurrent fully convolutional networks (rfcns). co... | instance-level salient object segmentation image saliency detection has recently witnessed rapid progress due to deep convolutional neural networks. however, none of the existing methods is able to identify object instances in the detected salient regions. in this paper, we present a salient instance segmentation metho... |
186,749 | 22060294 | thermal-aware soc test scheduling with test set partitioning and interleaving high temperature has become a major problem for system-on-chip testing. in order to reduce the test application time while keeping the temperatures of the cores under test within safe ranges, a thermal-aware test scheduling technique is requi... | rapid generation of thermal-safe test schedules overheating has been acknowledged as a major issue in testing complex socs. several power constrained system-level dft solutions (power constrained test scheduling) have recently been proposed to tackle this problem. however, as it will be shown in this paper, imposing a ... |
139,358 | 211011163 | cryptographic protocols a cryptographic transformation is a mapping f from a set of cleartext messages, m, to a set of ciphertext messages. since for m e m, f(m) should hide the contents of m from an enemy, f -1 should, in a certain technical sense, be difficult to infer from f(m) and public knowledge about f. a crypto... | reaching agreement in the presence of faults the problem addressed here concerns a set of isolated processors, some unknown subset of which may be faulty, that communicate only by means of two-party messages. each nonfaulty processor has a private value of information that must be communicated to each other nonfaulty p... |
166,559 | 34051717 | an application specific ic for digital signal processing: the floating point pipeline cordic processor describes concepts, design and implementation of a coordinate rotation digital computer (cordic) processor element that can be used in processor arrays for high-speed processing. the processor is intended to achieve m... | design and implementation of a floating-point quasi-systolic general purpose cordic rotator for high-rate parallel data and signal processing the authors describe the design and implementation of an algorithm and a processor which can be used to accelerate computations in which large amounts of rotations (circular as w... |
89,015 | 15650224 | exploiting semantic role labeling, wordnet and wikipedia for coreference resolution in this paper we present an extension of a machine learning based coreference resolution system which uses features induced from different semantic knowledge sources. these features represent knowledge mined from wordnet and wikipedia, ... | unsupervised learning of contextual role knowledge for coreference resolution we present a coreference resolver called babar that uses contextual role knowledge to evaluate possible antecedents for an anaphor. babar uses information extraction patterns to identify contextual roles and creates four contextual role knowl... |
290,507 | 428640 | compositional dynamic test generation dynamic test generation is a form of dynamic program analysis that attempts to compute test inputs to drive a program along a specific program path. directed automated random testing, or dart for short, blends dynamic test generation with model checking techniques with the goal of ... | loop-extended symbolic execution on binary programs mixed concrete and symbolic execution is an important technique for finding and understanding software bugs, including security-relevant ones. however, existing symbolic execution techniques are limited to examining one execution path at a time, in which symbolic vari... |
184,289 | 201651618 | deep visual-semantic hashing for cross-modal retrieval due to the storage and retrieval efficiency, hashing has been widely applied to approximate nearest neighbor search for large-scale multimedia retrieval. cross-modal hashing, which enables efficient retrieval of images in response to text queries or vice versa, has... | polysemous visual-semantic embedding for cross-modal retrieval visual-semantic embedding aims to find a shared latent space where related visual and textual instances are close to each other. most current methods learn injective embedding functions that map an instance to a single point in the shared space. unfortunate... |
223,302 | 9582828 | a data model and query language for exodus in this paper, we present the design of the extra data model and the excess query language for the exodus extensible database system. the extra data model includes support for complex objects with shared subobjects, a novel mix of object- and value-oriented semantics for data,... | composite object support in an object-oriented database system many applications in such domains as computer-aided design require the capability to define, store and retrieve as a single unit a collection of related objects known as a composite object. a composite object explicitly captures and enforces the is-part-of ... |
22,365 | 11293939 | hybrid argumentation and its properties we present a variant of ab-dispute derivations for assumption-based argumentation (aba), that can be used for determining the admissibility of claims. aba reduces the problem of computing arguments to the problem of computing assumptions supporting these arguments. whereas the or... | a generalised framework for dispute derivations in assumption-based argumentation assumption-based argumentation is a general-purpose argumentation framework with well-understood theoretical foundations and viable computational mechanisms (in the form of dispute derivations), as well as several applications. however, t... |
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