
Selfsupervised Visual Feature Learning with Deep Neural Networks: A Survey
Largescale labeled data are generally required to train deep neural net...
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Discovering SpatioTemporal Action Tubes
In this paper, we address the challenging problem of spatial and tempora...
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Recognizing American Sign Language Manual Signs from RGBD Videos
In this paper, we propose a 3D Convolutional Neural Network (3DCNN) base...
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3DFPNHS^2: 3D Feature Pyramid Network Based High Sensitivity and Specificity Pulmonary Nodule Detection
Accurate detection of pulmonary nodules with high sensitivity and specif...
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Accurate and Robust Pulmonary Nodule Detection by 3D Feature Pyramid Network with Selfsupervised Feature Learning
Accurate detection of pulmonary nodules with high sensitivity and specif...
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Gibbs Sampling with People
A core problem in cognitive science and machine learning is to understan...
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Leveraging background augmentations to encourage semantic focus in selfsupervised contrastive learning
Unsupervised representation learning is an important challenge in comput...
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Spectral Networks and Locally Connected Networks on Graphs
Convolutional Neural Networks are extremely efficient architectures in i...
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Explorations on high dimensional landscapes
Finding minima of a real valued nonconvex function over a high dimensio...
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Modeling and Analysis of TimeVarying Graphs
We live in a world increasingly dominated by networks  communications,...
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Funding Games: the Truth but not the Whole Truth
We introduce the Funding Game, in which m identical resources are to be ...
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Language as a matrix product state
We propose a statistical model for natural language that begins by consi...
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WHY: Natural Explanations from a Robot Navigator
Effective collaboration between a robot and a person requires natural co...
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CirCNN: Accelerating and Compressing Deep Neural Networks Using BlockCirculantWeight Matrices
Largescale deep neural networks (DNNs) are both compute and memory inte...
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SelfGuiding Multimodal LSTM  when we do not have a perfect training dataset for image captioning
In this paper, a selfguiding multimodal LSTM (sgLSTM) image captioning...
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Two forms of minimality in ASPIC+
Many systems of structured argumentation explicitly require that the fac...
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On the links between argumentationbased reasoning and nonmonotonic reasoning
In this paper we investigate the links between instantiated argumentatio...
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Unsupervised Feature Learning by Deep Sparse Coding
In this paper, we propose a new unsupervised feature learning framework,...
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Theoretical Properties for Neural Networks with Weight Matrices of Low Displacement Rank
Recently low displacement rank (LDR) matrices, or socalled structured m...
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Simple rules for complex decisions
From doctors diagnosing patients to judges setting bail, experts often b...
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MultiObjective Genetic Programming Projection Pursuit for Exploratory Data Modeling
For classification problems, feature extraction is a crucial process whi...
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Action Unit Detection with Region Adaptation, Multilabeling Learning and Optimal Temporal Fusing
Action Unit (AU) detection becomes essential for facial analysis. Many p...
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SCDCNN: HighlyScalable Deep Convolutional Neural Network using Stochastic Computing
With recent advancing of Internet of Things (IoTs), it becomes very attr...
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Want a Good Answer? Ask a Good Question First!
Community Question Answering (CQA) websites have become valuable reposit...
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A Recursive Framework for Expression Recognition: From Web Images to Deep Models to Game Dataset
In this paper, we propose a recursive framework to recognize facial expr...
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Towards an "IntheWild" Emotion Dataset Using a Gamebased Framework
In order to create an "inthewild" dataset of facial emotions with larg...
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A GreyBox Approach to Automated Mechanism Design
Auctions play an important role in electronic commerce, and have been us...
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An Investigation Report on Auction Mechanism Design
Auctions are markets with strict regulations governing the information a...
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Better Feature Tracking Through Subspace Constraints
Feature tracking in video is a crucial task in computer vision. Usually,...
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Linear Tabulated Resolution Based on Prolog Control Strategy
Infinite loops and redundant computations are long recognized open probl...
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Relevance Sensitive NonMonotonic Inference on Belief Sequences
We present a method for relevance sensitive nonmonotonic inference from...
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Tree structured sparse coding on cubes
A brief description of tree structured sparse coding on the binary cube....
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Fast Quantum Algorithm for Solving Multivariate Quadratic Equations
In August 2015 the cryptographic world was shaken by a sudden and surpri...
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Fingerprinting Cryptographic Protocols with Key Exchange using an Entropy Measure
Encryption has increasingly been used in all applications for various pu...
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Fast Matrix Multiplication and Symbolic Computation
The complexity of matrix multiplication (hereafter MM) has been intensiv...
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Probabilistic solution of Yao's millionaires' problem
We offer a probabilistic solution of Yao's millionaires' problem that gi...
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A vertex and edge deletion game on graphs
Starting with a graph, two players take turns in either deleting an edge...
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Bloom Filters, Adaptivity, and the Dictionary Problem
The Bloom filteror, more generally, an approximate membership query d...
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The Evolution of Regional Innovation with Spatial Knowledge Spillovers: Convergence or Divergence?
Based on endogenous economic growth models and the panel data of 31 regi...
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CHALET: Cornell House Agent Learning Environment
We present CHALET, a 3D house simulator with support for navigation and ...
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Evolution of Regional Innovation with Spatial Knowledge Spillovers: Convergence or Divergence?
Based on endogenous economic growth models and the panel data of 31 regi...
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Correlated Components Analysis  Extracting Reliable Dimensions in Multivariate Data
How does one find data dimensions that are reliably expressed across rep...
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MengeROS: a Crowd Simulation Tool for Autonomous Robot Navigation
While effective navigation in large, crowded environments is essential f...
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CommunicationEfficient Search for an Approximate Closest Lattice Point
We consider the problem of finding the closest lattice point to a vector...
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Incremental Classifier Learning with Generative Adversarial Networks
In this paper, we address the incremental classifier learning problem, w...
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Multiset Canonical Correlation Analysis simply explained
There are a multitude of methods to perform multiset correlated compone...
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Improving Retrieval Modeling Using Cross Convolution Networks And Multi Frequency Word Embedding
To build a satisfying chatbot that has the ability of managing a goalor...
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Age Group Classification with Speech and Metadata Multimodality Fusion
Children comprise a significant proportion of TV viewers and it is worth...
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RankDCG: RankOrdering Evaluation Measure
Ranking is used for a wide array of problems, most notably information r...
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A theory of NPcompleteness and illconditioning for approximate real computations
We develop a complexity theory for approximate real computations. We fir...
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The City University of New York is the public university system of New York City, and the largest urban university system in the United States.