abstract_id
stringlengths
10
10
sentences
list
labels
list
confs
list
train_0300
[ "Learning to rank refers to machine learning techniques for training the model in a ranking task.", "Learning to rank is useful for many applications in Information Retrieval, Natural Language Processing, and Data Mining.", "Intensive studies have been conducted on the problem and significant progress has been ...
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train_0301
[ "Discriminant analysis has been used for decades to extract features that preserve class separability.", "It is commonly defined as an optimization problem involving covariance matrices that represent the scatter within and between clusters.", "The requirement that one of these matrices be nonsingular limits it...
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train_0302
[ "Social media platforms such as Twitter and Facebook enable the creation of virtual customer environments (VCEs) where online communities of interest form around specific firms, brands, or products.", "While these platforms can be used as another means to deliver familiar e-commerce applications, when firms fail ...
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train_0303
[ "Attackers often create systems that automatically rewrite and reorder their malware to avoid detection.", "Typical machine learning approaches, which learn a classifier based on a handcrafted feature vector, are not sufficiently robust to such reorderings.", "We propose a different approach, which, similar to ...
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train_0304
[ "Social media is continually emerging as a platform of information exchange around health challenges.", "We study mental health discourse on the popular social media: reddit.", "Building on findings about health information seeking and sharing practices in online forums, and social media like Twitter, we addres...
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train_0305
[ "Photorealistic images can now be created using advanced techniques in computer graphics (CG).", "Synthesized elements could easily be mistaken for photographic (real) images.", "Therefore we need to differentiate between CG and real images.", "In our work, we propose and develop a new framework based on an a...
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train_0306
[ "In order to respond correctly to a free form factual question given a large collection of text data, one needs to understand the question to a level that allows determining some of the constraints the question imposes on a possible answer.", "These constraints may include a semantic classification of the sought ...
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train_0307
[ "Competing theoretical perspectives regarding the effects of knowledge management (KM) on performance have underpinned past empirical studies.", "By explicitly surfacing and comparing three such perspectives, we contribute to the theoretical advancement of the KM field.", "We develop hypotheses consistent with ...
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train_0308
[ "The problem this paper is concerned with is that of unsupervised learning.", "Mainly, what does it mean to learn a probability distribution?", "The classical answer to this is to learn a probability density.", "This is often done by defining a parametric family of densities (Pθ)θ∈Rd and finding the one that ...
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train_0309
[ "This paper reviews the problem of catastrophic forgetting (the loss or disruption of previously learned information when new information is learned) in neural networks, and explores rehearsal mechanisms (the retraining of some of the previously learned information as the new information is added) as a potential so...
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train_0310
[ "Motivating students to learn computer networking concepts is often difficult because many students find the subject rather technical, dry, and boring.", "To overcome this problem, the author has prepared some practical laboratory exercises (practicals) and other materials.", "They are designed around a network...
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train_0311
[ "Time series classification (TSC), the problem of predicting class labels of time series, has been around for decades within the community of data mining and machine learning, and found many important applications such as biomedical engineering and clinical prediction.", "However, it still remains challenging and...
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train_0312
[ "Business processes can be described with diagrams, e.g. BPMN diagrams, or as text.", "Use cases are a text-based notation.", "They are semiformal: a business process is expressed as a sequence of steps and each step is presented in a natural language.", "In the paper two experiments are described that aimed ...
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train_0313
[ "Hammersmith Infant Neurological Examination (HINE) is a popular method to estimate the neurological development of infants aged less than two years.", "Using HINE, especially for preterm or premature babies, the risk of neural disorder can be minimized through proper preventive measures.", "This paper presents...
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train_0314
[ "Business Process Management (BPM) is considered an essential strategy to create and maintain sustainable competitive advantage.", "While researchers are anxious to identify critical success factors for the management of business process related projects, the risks associated with these projects have received con...
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train_0315
[ "The Internet of Things (IoT) is experiencing exponential growth in research and industry, but it still suffers from privacy and security vulnerabilities.", "Conventional security and privacy approaches tend to be inapplicable for IoT, mainly due to its decentralized topology and the resource-constraints of the m...
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train_0316
[ "The utilization of Information Technology (IT) is spreading in tourism industry with explosive growth of Internet, Social Network Service (SNS) through smart phone applications.", "Especially, since intensive information has high value on tourism area, IT is becoming a crucial factor in the tourism industry.", ...
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train_0317
[ "5G will provide broadband access everywhere, entertain higher user mobility, and enable connectivity of massive number of devices (e.g. Internet of Things (IoT)) in an ultrareliable and affordable way.", "The main technological enablers such as cloud computing, Software Defined Networking (SDN) and Network Funct...
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train_0318
[ "Neural networks provide state-of-the-art results for most machine learning tasks.", "Unfortunately, neural networks are vulnerable to adversarial examples: given an input x and any target classification t, it is possible to find a new input x' that is similar to x but classified as t. This makes it difficult to ...
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train_0319
[ "While numerous metrics for information retrieval are available in the case of binary relevance, there is only one commonly used metric for graded relevance, namely the Discounted Cumulative Gain (DCG).", "A drawback of DCG is its additive nature and the underlying independence assumption: a document in a given p...
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train_0320
[ "Databases have been an integral component of Data Fusion from the outset when the JDL model was introduced.", "As advances in High-Level fusion using Multi-Int data have been made, the original concept of databases as a static repository of Level 0/1 content has evolved to support heterogeneous data, and as a ne...
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train_0321
[ "Modern mobile devices have access to a wealth of data suitable for learning models, which in turn can greatly improve the user experience on the device.", "For example, language models can improve speech recognition and text entry, and image models can automatically select good photos.", "However, this rich da...
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train_0322
[ "The paper motivates, presents, demonstrates in use, and evaluates a methodology for conducting design science (DS) research in information systems.", "DS is of importance in a discipline oriented to the creation of successful artifacts.", "Several IS researchers have pioneered DS research in IS, yet over the l...
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train_0323
[ "We present a robust and real-time monocular six degree of freedom relocalization system.", "Our system trains a convolutional neural network to regress the 6-DOF camera pose from a single RGB image in an end-to-end manner with no need of additional engineering or graph optimisation.", "The algorithm can operat...
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train_0324
[ "Phonemes are the standard modelling unit in HMM-based continuous speech recognition systems.", "Visemes are the equivalent unit in the visual domain, but there is less agreement on precisely what visemes are, or how many to model on the visual side in audio-visual speech recognition systems.", "This paper comp...
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train_0325
[ "We developed the project presented in this paper for an undergraduate computer architecture course specifically aimed at non-engineering students.", "The project is designed to develop understanding of processor organisation at the functional unit level by building a series software execution driven simulators, ...
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train_0326
[ "Dynamics of human body skeletons convey significant information for human action recognition.", "Conventional approaches for modeling skeletons usually rely on hand-crafted parts or traversal rules, thus resulting in limited expressive power and difficulties of generalization.", "In this work, we propose a nov...
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train_0327
[ "This article proposes an approach to generate test cases from BPMN models, for automated testing of Web applications implemented with the support of BPM suites.", "The work is primarily focused on functional testing and has the following objectives: (i) identify execution paths from the flow analysis in the BPMN...
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train_0328
[ "This paper develops and tests a model of consumer trust in an electronic commerce vendor.", "Building consumer trust is a strategic imperative for web-based vendors because trust strongly influences consumer intentions to transact with unfamiliar vendors via the web.", "Trust allows consumers to overcome perce...
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train_0329
[ "A new technique for three-dimensional (3D) camera calibration for machine vision metrology using off-the-shelf TV cameras and lenses is described.", "The two-stage technique is aimed at efficient computation of camera external position and orientation relative to object reference coordinate system as well as the...
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train_0330
[ "In Data Warehouse (DW) scenarios, ETL (Extraction, Transformation, Loading) processes are responsible for the extraction of data from heterogeneous operational data sources, their transformation (conversion, cleaning, normalization, etc.) and their loading into the DW.", "In this paper, we present a framework fo...
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train_0331
[ "Deep learning (DL) based semantic segmentation methods have been providing state-of-the-art performance in the last few years.", "More specifically, these techniques have been successfully applied to medical image classification, segmentation, and detection tasks.", "One deep learning technique, U-Net, has bec...
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train_0332
[ "A recent issue of a popular computing journal asked which laws would apply if a self-driving car killed a pedestrian.", "This paper considers the question of legal liability for artificially intelligent computer systems.", "It discusses whether criminal liability could ever apply; to whom it might apply; and, ...
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train_0333
[ "Artificial neural net models have been studied for many years in the hope of achieving human-like performance in the fields of speech and image recognition.", "These models are composed of many nonlinear computational elements operating in parallel and arranged in patterns reminiscent of biological neural nets."...
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train_0334
[ "Work ow systems hold the promise of facilitating the everyday operation of many enterprises and work environments.", "As a result, many commercial work ow management systems have been developed.", "These systems, although useful, do not scale well, have limited fault-tolerance, and are in exible in terms of in...
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train_0335
[ "We present a hybrid algorithm for detection and tracking of text in natural scenes that goes beyond the full-detection approaches in terms of time performance optimization.", "A state-of-the-art scene text detection module based on Maximally Stable Extremal Regions (MSER) is used to detect text asynchronously, w...
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train_0336
[ "Online social networks have now become the most popular platforms for people to share information with others.", "Along with this, there is a serious threat to individuals’ privacy.", "One privacy risk comes from the sharing of co-owned data, i.e., when a user shares a data item that involves multiple users, s...
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train_0337
[ "In this paper, we consider the variable sized bin packing problem where the objective is to minimize the total cost of used bins when the cost of unit size of each bin does not increase as the bin size increases.", "Two greedy algorithms are described, and analyzed in three special cases: (a) the sizes of items ...
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train_0338
[ "Imagine a large mass of nonhomogeneous metal.", "Imagine that it is struck a severe blow by a large hammer.", "The shock wave of the impact will travel throughout the mass and arrive at different parts at different times.", "Furthermore, this shock wave will be reflected from boundaries and regions of nonhom...
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train_0339
[ "We present a method for estimating the KL divergence between continuous densities and we prove it converges almost surely.", "Divergence estimation is typically solved estimating the densities first.", "Our main result shows this intermediate step is unnecessary and that the divergence can be either estimated ...
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train_0340
[ "In 1979, David Fabian found a complete game of two-person Chinese Checkers in 30 moves (15 by each player).", "This solution requires that the two players cooperate to generate a win as quickly as possible for one of them.", "We show, using computational search techniques, that no shorter game is possible.", ...
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train_0341
[ "We propose and study a novel panoptic segmentation (PS) task.", "Panoptic segmentation unifies the typically distinct tasks of semantic segmentation (assign a class label to each pixel) and instance segmentation (detect and segment each object instance).", "The proposed task requires generating a coherent scen...
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train_0342
[ "In this paper, we propose \"SHAPIO\"', a game controller that inputs and outputs game events through its three-dimensional shape.", "SHAPIO consists of multiple triangular prisms, and its three-dimensional shape can be freely changed by twisting each prism.", "When a game player changes the shape of SHAPIO, th...
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train_0343
[ "This paper proposes a new model for extracting an interpretable sentence embedding by introducing self-attention.", "Instead of using a vector, we use a 2-D matrix to represent the embedding, with each row of the matrix attending on a different part of the sentence.", "We also propose a self-attention mechanis...
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train_0344
[ "Personal identification numbers are widely used for user authentication and security.", "Password authentication using PINs requires users to physically input the PIN, which could be vulnerable to password cracking via shoulder surfing or thermal tracking.", "PIN authentication with hands-off gaze-based PIN en...
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train_0345
[ "Taylor & Francis makes every effort to ensure the accuracy of all the information (the “Content”) contained in the publications on our platform.", "However, Taylor & Francis, our agents, and our licensors make no representations or warranties whatsoever as to the accuracy, completeness, or suitability for any pu...
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train_0346
[ "Gatys et al. recently introduced a neural algorithm that renders a content image in the style of another image, achieving so-called style transfer.", "However, their framework requires a slow iterative optimization process, which limits its practical application.", "Fast approximations with feed-forward neural...
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train_0347
[ "This paper presents a diffusion method for generating terrains from a set of parameterized curves that characterize the landform features such as ridge lines, riverbeds or cliffs.", "Our approach provides the user with an intuitive vector-based feature-oriented control over the terrain.", "Different types of c...
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train_0348
[ "With the rapid development of the computer technology, cloud-based services have become a hot topic.", "Cloud-based services not only provide users with convenience, but also bring many security issues.", "Therefore, the study of access control scheme to protect users' privacy in cloud environment is of great ...
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train_0349
[ "A study on the steps to follow in linguistic decision analysis is presented in a context of multi-criteria=multi-person decision making.", "Three steps are established for solving a multi-criteria decision making problem under linguistic information: (i) the choice of the linguistic term set with its semantic in...
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train_0350
[ "We show how to learn many layers of features on color images and we use these features to initialize deep autoencoders.", "We then use the autoencoders to map images to short binary codes.", "Using semantic hashing [6], 28-bit codes can be used to retrieve images that are similar to a query image in a time tha...
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train_0351
[ "A graph G = (V,E) is a set V of vertices and a set E of edges, in which an edge joins a pair of vertices.", "1 Normally, graphs are depicted with their vertices as points in a plane and their edges as line or curve segments connecting those points.", "There are different styles of representation, suited to dif...
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train_0352
[ "We present a telerobotics research platform that provides complete access to all levels of control via open-source electronics and software.", "The electronics employs an FPGA to enable a centralized computation and distributed I/O architecture in which all control computations are implemented in a familiar deve...
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train_0353
[ "The paucity of videos in current action classification datasets (UCF-101 and HMDB-51) has made it difficult to identify good video architectures, as most methods obtain similar performance on existing small-scale benchmarks.", "This paper re-evaluates state-of-the-art architectures in light of the new Kinetics H...
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train_0354
[ "Cause-Effect Graphing (CEG) is used to identify test cases from a given specification to validate its corresponding implementation.", "This paper gives detail about this technique of software testing.", "It also shows how the CEG technique can be used to test that software fulfill requirement specification or ...
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train_0355
[ "Derived from rapid advances in computer vision and machine learning, video analysis tasks have been moving from inferring the present state to predicting the future state.", "Vision-based action recognition and prediction from videos are such tasks, where action recognition is to infer human actions (present sta...
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train_0356
[ "A facial recognition system is a computer application for automatically identifying or verifying a person from a digital image or a video frame from a video source.", "One of the way is to do this is by comparing selected facial features from the image and a facial database.", "It is typically used in security...
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train_0357
[ "1 Stanford University 2 Concordia University 3 Princeton University Abstract.", "We formalize the use of Bitcoin as a source of publiclyverifiable randomness.", "As a side-effect of Bitcoin’s proof-of-work-based consensus system, random values are broadcast every time new blocks are mined.", "We can derive s...
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train_0358
[ "Although Bayesian analysis has been in use since Laplace, the Bayesian method of model-comparison has only recently been developed in depth.", "In this paper, the Bayesian approach to regularization and model-comparison is demonstrated by studying the inference problem of interpolating noisy data.", "The conce...
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train_0359
[ "Given a grayscale photograph as input, this paper attacks the problem of hallucinating a plausible color version of the photograph.", "This problem is clearly underconstrained, so previous approaches have either relied on significant user interaction or resulted in desaturated colorizations.", "We propose a fu...
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train_0360
[ "Blockchain has drawn attention as the next-generation financial technology due to its security that suits the informatization era.", "In particular, it provides security through the authentication of peers that share virtual cash, encryption, and the generation of hash value.", "According to the global financi...
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train_0361
[ "Organizational compliance with laws, industrial standards, procedures and enterprise architectures has become a highly relevant topic for both practitioners and academics.", "However, both the fundamental insights into compliance as a concept and the tactics for bringing an organization into a compliant state ha...
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train_0362
[ "In this paper we present a novel street scene semantic recognition framework, which takes advantage of 3D point clouds captured by a high-definition LiDAR laser scanner.", "An important problem in object recognition is the need for sufficient labeled training data to learn robust classifiers.", "In this paper ...
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train_0363
[ "This paper presents ORB-SLAM, a feature-based monocular simultaneous localization and mapping (SLAM) system that operates in real time, in small and large indoor and outdoor environments.", "The system is robust to severe motion clutter, allows wide baseline loop closing and relocalization, and includes full aut...
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train_0364
[ "There are many different definitions and understandings of the concept of privacy.", "Here we bring all the different aspects of privacy together and propose a comprehensive definition thereof.", "We also introduce the three different approaches to privacy preservation, and propose a comprehensive and multi-fa...
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train_0365
[ "We introduce a complete pipeline for recognizing and classifying people’s clothing in natural scenes.", "This has several interesting applications, including e-commerce, event and activity recognition, online advertising, etc.", "The stages of the pipeline combine a number of state-of-the-art building blocks s...
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train_0366
[ "Credit is a widely used tool to finance personal and corporate projects.", "The risk of default has motivated lenders to use a credit scoring system, which helps them make more efficient decisions about whom to extend credit.", "Credit scores serve as a financial user model, and have been traditionally compute...
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train_0367
[ "This paper describes InfoGAN, an information-theoretic extension to the Generative Adversarial Network that is able to learn disentangled representations in a completely unsupervised manner.", "InfoGAN is a generative adversarial network that also maximizes the mutual information between a small subset of the la...
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train_0368
[ "Emergence of peer-to-peer lending has opened an appealing option for micro-financing and is growing rapidly as an option in the financial industry.", "However, peer-to-peer lending possesses a high risk of investment failure due to the lack of expertise on the borrowers' creditworthiness.", "In addition, infor...
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train_0369
[ "Previous approaches for scene text detection have already achieved promising performances across various benchmarks.", "However, they usually fall short when dealing with challenging scenarios, even when equipped with deep neural network models, because the overall performance is determined by the interplay of m...
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train_0370
[ "The odds for success of a future CAI system (as well as the present CAI movement) are completely dependent on the quality of an underlying theory of innovation and the effectiveness of its tools, processes and models.", "This paper establishes a set of requirements for such a theory, evaluates existing approache...
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train_0371
[ "This paper presents a method for extracting distinctive invariant features from images that can be used to perform reliable matching between different views of an object or scene.", "The features are invariant to image scale and rotation, and are shown to provide robust matching across a substantial range of aff...
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train_0372
[ "Computerized algorithms and solutions in processing and diagnosis mammography X-ray, cardiovascular CT/MRI scans, and microscopy image play an important role in disease detection and computer-aided decision-making.", "Machine learning techniques have powered many aspects in medical investigations and clinical pr...
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train_0373
[ "Despite the great advances made by deep learning in many machine learning problems, there is a relative dearth of deep learning approaches for anomaly detection.", "Those approaches which do exist involve networks trained to perform a task other than anomaly detection, namely generative models or compression, wh...
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train_0374
[ "The rapid development of the RF power electronics requires the introduction of wide bandgap material due to its potential in high output power density, high operation voltage and high input impedance.", "GaN-based RF power devices have made substantial progresses in the last decade.", "This paper attempts to r...
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train_0375
[ "In this work we explore recent advances in Recurrent Neural Networks for large scale Language Modeling, a task central to language understanding.", "We extend current models to deal with two key challenges present in this task: corpora and vocabulary sizes, and complex, long term structure of language.", "We p...
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train_0376
[ "The consumer electronics industry is a $ 240 billion global industry with a small number of highly competitive global players.", "We describe many of the risks associated with any global supply chain in this industry.", "As illustration, we also list steps that Samsung Electronics and its subsidiary, Samsung E...
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train_0377
[ "Binomial filters are simple and efficient structures based on the binomial coefficients for implementing Gaussian filtering.", "They do not require multipliers and can therefore be implemented efficiently in programmable hardware.", "There are many possible variations of the basic binomial filter structure, an...
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train_0378
[ "We describe a single convolutional neural network architecture that, given a sentence, outputs a host of language processing predictions: part-of-speech tags, chunks, named entity tags, semantic roles, semantically similar words and the likelihood that the sentence makes sense (grammatically and semantically) usin...
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train_0379
[ "The problem of position estimation from Time Difference Of Arrival (TDOA) measurements occurs in a range of applications from wireless communication networks to electronic warfare positioning.", "Correlation analysis of the transmitted signal to two receivers gives rise to one hyperbolic function.", "With more...
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train_0380
[ "Person re-identification across cameras remains a very challenging problem, especially when there are no overlapping fields of view between cameras.", "In this paper, we present a novel multi-channel parts-based convolutional neural network (CNN) model under the triplet framework for person re-identification.", ...
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train_0381
[ "This paper is a survey of inductive rule learning algorithms that use a separate-and-conquer strategy.", "This strategy can be traced back to the AQ learning system and still enjoys popularity as can be seen from its frequent use in inductive logic programming systems.", "We will put this wide variety of algor...
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train_0382
[ "The chest X-ray is one of the most commonly accessible radiological examinations for screening and diagnosis of many lung diseases.", "A tremendous number of X-ray imaging studies accompanied by radiological reports are accumulated and stored in many modern hospitals Picture Archiving and Communication Systems (...
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train_0383
[ "Email has now become the most-used communication tool in the world and has also become the primary business productivity applications for most organizations and individuals.", "With the ever increasing popularity of emails, email over-load and prioritization becomes a major problem for many email users.", "Use...
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train_0384
[ "This paper presents a design pattern of an adaptive scheduling based on the management of the tasks execution time, achieved through multiple versions of the tasks, applied to the real-time specification for Java.", "A structure of classes is used to facilitate the development of tasks, while allowing the indepe...
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train_0385
[ "This paper addresses the problem of 3D human pose estimation from a single image.", "We follow a standard two-step pipeline by first detecting the 2D position of the N body joints, and then using these observations to infer 3D pose.", "For the first step, we use a recent CNN-based detector.", "For the second...
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train_0386
[ "Heart rate is an important indicator of people's physiological state.", "Recently, several papers reported methods to measure heart rate remotely from face videos.", "Those methods work well on stationary subjects under well controlled conditions, but their performance significantly degrades if the videos are ...
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train_0387
[ "We consider the following scheduling problem.", "There are m parallel machines and n independent jobs.", "Each job is to be assigned to one of the machines.", "The processing of job j on machine i requires time pij.", "The objective is to find a schedule that minimizes the makespan.", "Our main result is...
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train_0388
[ "The landscape of cloud computing has significantly changed over the last decade.", "Not only have more providers and service offerings crowded the space, but also cloud infrastructure that was traditionally limited to single provider data centers is now evolving.", "In this paper, we firstly discuss the changi...
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train_0389
[ "With the increase in available data parallel machine learning has become an increasingly pressing problem.", "In this paper we present the first parallel stochastic gradient descent algorithm including a detailed analysis and experimental evidence.", "Unlike prior work on parallel optimization algorithms [5, 7...
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train_0390
[ "Unobtrusive, contactless recordings of physiological signals are very important for many health and human-computer interaction applications.", "Most current systems require sensors which intrusively touch the user's skin.", "Recent advances in contact-free physiological signals open the door to many new types ...
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train_0391
[ "This paper presents a comprehensive physical characterization and modeling of the three-phase common-mode (CM) inductors along with the equivalent circuits that are relevant for their design.", "Modeling issues that are treated sparsely in previous literature are explained in this paper, and novel insightful asp...
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train_0392
[ "Trading rules have been utilized in the stock market to make profit for more than a century.", "However, only using a single trading rule may not be sufficient to predict the stock price trend accurately.", "Although some complex trading strategies combining various classes of trading rules have been proposed ...
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train_0393
[ "Forecasting performances of feed-forward and recurrent neural networks (NN) trained with different learning algorithms are analyzed and compared using the Mackey-Glass nonlinear chaotic time series.", "This system is a known benchmark test whose elements are hard to predict.", "Multi-layer Perceptron NN was ch...
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train_0394
[ "In this paper, we present a fully automatic brain tumor segmentation method based on Deep Neural Networks (DNNs).", "The proposed networks are tailored to glioblastomas (both low and high grade) pictured in MR images.", "By their very nature, these tumors can appear anywhere in the brain and have almost any ki...
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train_0395
[ "In this paper, it is proposed a new methodology based on invariant moments and multi-class support vector machine (MCSVM) for classification of human parasite eggs in microscopic images.", "The MCSVM is one of the most used classifiers but it has not used for classification of human parasite eggs to date.", "T...
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train_0396
[ "Hate speech detection on Twitter is critical for applications like controversial event extraction, building AI chatterbots, content recommendation, and sentiment analysis.", "We define this task as being able to classify a tweet as racist, sexist or neither.", "The complexity of the natural language constructs...
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train_0397
[ "Software architecture has become a centerpiece subject for software engineers, both researchers and practitioners alike.", "At the heart of every software system is its software architecture, i.e., \"the set of principal design decisions about the system\".", "Architecture permeates all major facets of a softw...
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train_0398
[ "Years of heavy regulation and bureaucratic inefficiency have slowed innovation for electronic medical records (EMRs).", "We now face a critical need for such innovation, as personalization and data science prompt patients to engage in the details of their healthcare and restore agency over their medical data.", ...
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train_0399
[ "Recent years have produced great advances in training large, deep neural networks (DNNs), including notable successes in training convolutional neural networks (convnets) to recognize natural images.", "However, our understanding of how these models work, especially what computations they perform at intermediate...
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