CUNY Law School

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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.

Self-supervised Visual Feature Learning with Deep Neural Networks: A Survey

Large-scale labeled data are generally required to train deep neural net...
02/16/2019 ∙ by Longlong Jing, et al. ∙ 32 ∙ share

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Discovering Spatio-Temporal Action Tubes

In this paper, we address the challenging problem of spatial and tempora...
11/29/2018 ∙ by Yuancheng Ye, et al. ∙ 12 ∙ share

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Recognizing American Sign Language Manual Signs from RGB-D Videos

In this paper, we propose a 3D Convolutional Neural Network (3DCNN) base...
06/07/2019 ∙ by Longlong Jing, et al. ∙ 4 ∙ share

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3DFPN-HS^2: 3D Feature Pyramid Network Based High Sensitivity and Specificity Pulmonary Nodule Detection

Accurate detection of pulmonary nodules with high sensitivity and specif...
06/08/2019 ∙ by Jingya Liu, et al. ∙ 4 ∙ share

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Accurate and Robust Pulmonary Nodule Detection by 3D Feature Pyramid Network with Self-supervised Feature Learning

Accurate detection of pulmonary nodules with high sensitivity and specif...
07/25/2019 ∙ by Jingya Liu, et al. ∙ 4 ∙ share

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Gibbs Sampling with People

A core problem in cognitive science and machine learning is to understan...
08/06/2020 ∙ by Peter M. C. Harrison, et al. ∙ 4 ∙ share

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Leveraging background augmentations to encourage semantic focus in self-supervised contrastive learning

Unsupervised representation learning is an important challenge in comput...
03/23/2021 ∙ by Chaitanya K. Ryali, et al. ∙ 1 ∙ share

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Spectral Networks and Locally Connected Networks on Graphs

Convolutional Neural Networks are extremely efficient architectures in i...
12/21/2013 ∙ by Joan Bruna, et al. ∙ 0 ∙ share

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Explorations on high dimensional landscapes

Finding minima of a real valued non-convex function over a high dimensio...
12/20/2014 ∙ by Levent Sagun, et al. ∙ 0 ∙ share

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Modeling and Analysis of Time-Varying Graphs

We live in a world increasingly dominated by networks -- communications,...
12/01/2010 ∙ by Prithwish Basu, et al. ∙ 0 ∙ share

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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 ...
07/12/2011 ∙ by Amotz Bar-Noy, et al. ∙ 0 ∙ share

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Language as a matrix product state

We propose a statistical model for natural language that begins by consi...
11/04/2017 ∙ by Vasily Pestun, et al. ∙ 0 ∙ share

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WHY: Natural Explanations from a Robot Navigator

Effective collaboration between a robot and a person requires natural co...
09/27/2017 ∙ by Raj Korpan, et al. ∙ 0 ∙ share

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CirCNN: Accelerating and Compressing Deep Neural Networks Using Block-CirculantWeight Matrices

Large-scale deep neural networks (DNNs) are both compute and memory inte...
08/29/2017 ∙ by Caiwen Ding, et al. ∙ 0 ∙ share

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Self-Guiding Multimodal LSTM - when we do not have a perfect training dataset for image captioning

In this paper, a self-guiding multimodal LSTM (sg-LSTM) image captioning...
09/15/2017 ∙ by Yang Xian, et al. ∙ 0 ∙ share

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Two forms of minimality in ASPIC+

Many systems of structured argumentation explicitly require that the fac...
02/02/2017 ∙ by Zimi Li, et al. ∙ 0 ∙ share

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On the links between argumentation-based reasoning and nonmonotonic reasoning

In this paper we investigate the links between instantiated argumentatio...
01/13/2017 ∙ by Zimi Li, et al. ∙ 0 ∙ share

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Unsupervised Feature Learning by Deep Sparse Coding

In this paper, we propose a new unsupervised feature learning framework,...
12/20/2013 ∙ by Yunlong He, et al. ∙ 0 ∙ share

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Theoretical Properties for Neural Networks with Weight Matrices of Low Displacement Rank

Recently low displacement rank (LDR) matrices, or so-called structured m...
03/01/2017 ∙ by Liang Zhao, et al. ∙ 0 ∙ share

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Simple rules for complex decisions

From doctors diagnosing patients to judges setting bail, experts often b...
02/15/2017 ∙ by Jongbin Jung, et al. ∙ 0 ∙ share

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Multi-Objective Genetic Programming Projection Pursuit for Exploratory Data Modeling

For classification problems, feature extraction is a crucial process whi...
10/10/2010 ∙ by Ilknur Icke, et al. ∙ 0 ∙ share

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Action Unit Detection with Region Adaptation, Multi-labeling Learning and Optimal Temporal Fusing

Action Unit (AU) detection becomes essential for facial analysis. Many p...
04/10/2017 ∙ by Wei Li, et al. ∙ 0 ∙ share

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SC-DCNN: Highly-Scalable Deep Convolutional Neural Network using Stochastic Computing

With recent advancing of Internet of Things (IoTs), it becomes very attr...
11/18/2016 ∙ by Ao Ren, et al. ∙ 0 ∙ share

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Want a Good Answer? Ask a Good Question First!

Community Question Answering (CQA) websites have become valuable reposit...
11/27/2013 ∙ by Yuan Yao, et al. ∙ 0 ∙ share

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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...
08/04/2016 ∙ by Wei Li, et al. ∙ 0 ∙ share

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Towards an "In-the-Wild" Emotion Dataset Using a Game-based Framework

In order to create an "in-the-wild" dataset of facial emotions with larg...
07/10/2016 ∙ by Wei Li, et al. ∙ 0 ∙ share

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A Grey-Box Approach to Automated Mechanism Design

Auctions play an important role in electronic commerce, and have been us...
02/02/2010 ∙ by Jinzhong Niu, et al. ∙ 0 ∙ share

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An Investigation Report on Auction Mechanism Design

Auctions are markets with strict regulations governing the information a...
04/08/2009 ∙ by Jinzhong Niu, et al. ∙ 0 ∙ share

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Better Feature Tracking Through Subspace Constraints

Feature tracking in video is a crucial task in computer vision. Usually,...
05/09/2014 ∙ by Bryan Poling, et al. ∙ 0 ∙ share

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Linear Tabulated Resolution Based on Prolog Control Strategy

Infinite loops and redundant computations are long recognized open probl...
03/09/2000 ∙ by Yi-Dong Shen, et al. ∙ 0 ∙ share

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Relevance Sensitive Non-Monotonic Inference on Belief Sequences

We present a method for relevance sensitive non-monotonic inference from...
03/08/2000 ∙ by Samir Chopra, et al. ∙ 0 ∙ share

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Tree structured sparse coding on cubes

A brief description of tree structured sparse coding on the binary cube....
01/16/2013 ∙ by Arthur Szlam, et al. ∙ 0 ∙ share

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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...
12/19/2017 ∙ by Jean-Charles Faug`ere, et al. ∙ 0 ∙ share

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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...
12/16/2017 ∙ by Shoufu Luo, et al. ∙ 0 ∙ share

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Fast Matrix Multiplication and Symbolic Computation

The complexity of matrix multiplication (hereafter MM) has been intensiv...
12/17/2016 ∙ by Jean-Guillaume Dumas, et al. ∙ 0 ∙ share

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Probabilistic solution of Yao's millionaires' problem

We offer a probabilistic solution of Yao's millionaires' problem that gi...
11/27/2017 ∙ by Mariya Bessonov, et al. ∙ 0 ∙ share

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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...
09/05/2017 ∙ by Cormac O'Sullivan, et al. ∙ 0 ∙ share

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Bloom Filters, Adaptivity, and the Dictionary Problem

The Bloom filter---or, more generally, an approximate membership query d...
11/05/2017 ∙ by Michael A. Bender, et al. ∙ 0 ∙ share

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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...
01/22/2018 ∙ by Junwen Qiu, et al. ∙ 0 ∙ share

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CHALET: Cornell House Agent Learning Environment

We present CHALET, a 3D house simulator with support for navigation and ...
01/23/2018 ∙ by Claudia Yan, et al. ∙ 0 ∙ share

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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...
01/22/2018 ∙ by Junwen Qiu, et al. ∙ 0 ∙ share

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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...
01/26/2018 ∙ by Lucas C. Parra, et al. ∙ 0 ∙ share

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MengeROS: a Crowd Simulation Tool for Autonomous Robot Navigation

While effective navigation in large, crowded environments is essential f...
01/26/2018 ∙ by Anoop Aroor, et al. ∙ 0 ∙ share

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Communication-Efficient Search for an Approximate Closest Lattice Point

We consider the problem of finding the closest lattice point to a vector...
01/29/2018 ∙ by Maiara F. Bollauf, et al. ∙ 0 ∙ share

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Incremental Classifier Learning with Generative Adversarial Networks

In this paper, we address the incremental classifier learning problem, w...
02/02/2018 ∙ by Yue Wu, et al. ∙ 0 ∙ share

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Multi-set Canonical Correlation Analysis simply explained

There are a multitude of methods to perform multi-set correlated compone...
02/11/2018 ∙ by Lucas C. Parra, et al. ∙ 0 ∙ share

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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 goal-or...
02/15/2018 ∙ by Guozhen An, et al. ∙ 0 ∙ share

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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...
03/02/2018 ∙ by Denys Katerenchuk, et al. ∙ 0 ∙ share

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RankDCG: Rank-Ordering Evaluation Measure

Ranking is used for a wide array of problems, most notably information r...
03/02/2018 ∙ by Denys Katerenchuk, et al. ∙ 0 ∙ share

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A theory of NP-completeness and ill-conditioning for approximate real computations

We develop a complexity theory for approximate real computations. We fir...
03/09/2018 ∙ by Gregorio Malajovich, et al. ∙ 0 ∙ share

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