CUNY Law School

research

∙ 02/16/2019

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

Large-scale labeled data are generally required to train deep neural net...

Longlong Jing, et al. ∙

research

∙ 11/29/2018

Discovering Spatio-Temporal Action Tubes

In this paper, we address the challenging problem of spatial and tempora...

Yuancheng Ye, et al. ∙

research

∙ 01/13/2022

SnapshotNet: Self-supervised Feature Learning for Point Cloud Data Segmentation Using Minimal Labeled Data

Manually annotating complex scene point cloud datasets is both costly an...

Xingye Li, et al. ∙

research

∙ 02/07/2022

Locally Random P-adic Alloy Codes with Channel Coding Theorems for Distributed Coded Tensors

Tensors, i.e., multi-linear functions, are a fundamental building block ...

Pedro Soto, et al. ∙

research

∙ 06/07/2019

Recognizing American Sign Language Manual Signs from RGB-D Videos

In this paper, we propose a 3D Convolutional Neural Network (3DCNN) base...

Longlong Jing, et al. ∙

research

∙ 06/08/2019

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...

Jingya Liu, et al. ∙

research

∙ 07/25/2019

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...

Jingya Liu, et al. ∙

research

∙ 08/06/2020

Gibbs Sampling with People

A core problem in cognitive science and machine learning is to understan...

Peter M. C. Harrison, et al. ∙

research

∙ 04/19/2022

Evolving Programmable Computational Metamaterials

Granular metamaterials are a promising choice for the realization of mec...

atoosa-parsa, et al. ∙

research

∙ 05/02/2022

Hausa Visual Genome: A Dataset for Multi-Modal English to Hausa Machine Translation

Multi-modal Machine Translation (MMT) enables the use of visual informat...

Idris Abdulmumin, et al. ∙

research

∙ 03/23/2021

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

Unsupervised representation learning is an important challenge in comput...

Chaitanya K. Ryali, et al. ∙

research

∙ 12/21/2013

Spectral Networks and Locally Connected Networks on Graphs

Convolutional Neural Networks are extremely efficient architectures in i...

Joan Bruna, et al. ∙

research

∙ 12/20/2014

Explorations on high dimensional landscapes

Finding minima of a real valued non-convex function over a high dimensio...

Levent Sagun, et al. ∙

research

∙ 12/01/2010

Modeling and Analysis of Time-Varying Graphs

We live in a world increasingly dominated by networks -- communications,...

Prithwish Basu, et al. ∙

research

∙ 07/12/2011

Funding Games: the Truth but not the Whole Truth

We introduce the Funding Game, in which m identical resources are to be ...

Amotz Bar-Noy, et al. ∙

research

∙ 11/04/2017

Language as a matrix product state

We propose a statistical model for natural language that begins by consi...

Vasily Pestun, et al. ∙

research

∙ 09/27/2017

WHY: Natural Explanations from a Robot Navigator

Effective collaboration between a robot and a person requires natural co...

Raj Korpan, et al. ∙

research

∙ 08/29/2017

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

Large-scale deep neural networks (DNNs) are both compute and memory inte...

Caiwen Ding, et al. ∙

research

∙ 09/15/2017

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...

Yang Xian, et al. ∙

research

∙ 02/02/2017

Two forms of minimality in ASPIC+

Many systems of structured argumentation explicitly require that the fac...

Zimi Li, et al. ∙

research

∙ 01/13/2017

On the links between argumentation-based reasoning and nonmonotonic reasoning

In this paper we investigate the links between instantiated argumentatio...

Zimi Li, et al. ∙

research

∙ 12/20/2013

Unsupervised Feature Learning by Deep Sparse Coding

In this paper, we propose a new unsupervised feature learning framework,...

Yunlong He, et al. ∙

research

∙ 03/01/2017

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

Recently low displacement rank (LDR) matrices, or so-called structured m...

Liang Zhao, et al. ∙

research

∙ 02/15/2017

Simple rules for complex decisions

From doctors diagnosing patients to judges setting bail, experts often b...

Jongbin Jung, et al. ∙

research

∙ 10/10/2010

Multi-Objective Genetic Programming Projection Pursuit for Exploratory Data Modeling

For classification problems, feature extraction is a crucial process whi...

Ilknur Icke, et al. ∙

research

∙ 04/10/2017

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

Action Unit (AU) detection becomes essential for facial analysis. Many p...

Wei Li, et al. ∙

research

∙ 11/18/2016

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

With recent advancing of Internet of Things (IoTs), it becomes very attr...

Ao Ren, et al. ∙

research

∙ 11/27/2013

Want a Good Answer? Ask a Good Question First!

Community Question Answering (CQA) websites have become valuable reposit...

Yuan Yao, et al. ∙

research

∙ 08/04/2016

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...

Wei Li, et al. ∙

research

∙ 07/10/2016

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...

Wei Li, et al. ∙

research

∙ 02/02/2010

A Grey-Box Approach to Automated Mechanism Design

Auctions play an important role in electronic commerce, and have been us...

Jinzhong Niu, et al. ∙

research

∙ 04/08/2009

An Investigation Report on Auction Mechanism Design

Auctions are markets with strict regulations governing the information a...

Jinzhong Niu, et al. ∙

research

∙ 05/09/2014

Better Feature Tracking Through Subspace Constraints

Feature tracking in video is a crucial task in computer vision. Usually,...

Bryan Poling, et al. ∙

research

∙ 03/09/2000

Linear Tabulated Resolution Based on Prolog Control Strategy

Infinite loops and redundant computations are long recognized open probl...

Yi-Dong Shen, et al. ∙

research

∙ 03/08/2000

Relevance Sensitive Non-Monotonic Inference on Belief Sequences

We present a method for relevance sensitive non-monotonic inference from...

Samir Chopra, et al. ∙

research

∙ 01/16/2013

Tree structured sparse coding on cubes

A brief description of tree structured sparse coding on the binary cube....

Arthur Szlam, et al. ∙

research

∙ 12/19/2017

Fast Quantum Algorithm for Solving Multivariate Quadratic Equations

In August 2015 the cryptographic world was shaken by a sudden and surpri...

Jean-Charles Faug`ere, et al. ∙

research

∙ 12/16/2017

Fingerprinting Cryptographic Protocols with Key Exchange using an Entropy Measure

Encryption has increasingly been used in all applications for various pu...

Shoufu Luo, et al. ∙

research

∙ 12/17/2016

Fast Matrix Multiplication and Symbolic Computation

The complexity of matrix multiplication (hereafter MM) has been intensiv...

Jean-Guillaume Dumas, et al. ∙

research

∙ 11/27/2017

Probabilistic solution of Yao's millionaires' problem

We offer a probabilistic solution of Yao's millionaires' problem that gi...

Mariya Bessonov, et al. ∙

research

∙ 09/05/2017

A vertex and edge deletion game on graphs

Starting with a graph, two players take turns in either deleting an edge...

Cormac O'Sullivan, et al. ∙

research

∙ 11/05/2017

Bloom Filters, Adaptivity, and the Dictionary Problem

The Bloom filter---or, more generally, an approximate membership query d...

Michael A. Bender, et al. ∙

research

∙ 01/22/2018

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...

Junwen Qiu, et al. ∙

research

∙ 01/23/2018

CHALET: Cornell House Agent Learning Environment

We present CHALET, a 3D house simulator with support for navigation and ...

Claudia Yan, et al. ∙

research

∙ 01/22/2018

Evolution of Regional Innovation with Spatial Knowledge Spillovers: Convergence or Divergence?

Based on endogenous economic growth models and the panel data of 31 regi...

Junwen Qiu, et al. ∙

research

∙ 01/26/2018

Correlated Components Analysis --- Extracting Reliable Dimensions in Multivariate Data

How does one find data dimensions that are reliably expressed across rep...

Lucas C. Parra, et al. ∙

research

∙ 01/26/2018

MengeROS: a Crowd Simulation Tool for Autonomous Robot Navigation

While effective navigation in large, crowded environments is essential f...

Anoop Aroor, et al. ∙

research

∙ 01/29/2018

Communication-Efficient Search for an Approximate Closest Lattice Point

We consider the problem of finding the closest lattice point to a vector...

Maiara F. Bollauf, et al. ∙

research

∙ 02/02/2018

Incremental Classifier Learning with Generative Adversarial Networks

In this paper, we address the incremental classifier learning problem, w...

Yue Wu, et al. ∙

research

∙ 02/11/2018

Multi-set Canonical Correlation Analysis simply explained

There are a multitude of methods to perform multi-set correlated compone...

Lucas C. Parra, et al. ∙

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