
Towards Visually Explaining Variational Autoencoders
Recent advances in Convolutional Neural Network (CNN) model interpretabi...
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Chart AutoEncoders for Manifold Structured Data
Autoencoding and generative models have made tremendous successes in im...
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Multiorgan Segmentation over Partially Labeled Datasets with Multiscale Feature Abstraction
This paper presents a unified training strategy that enables a novel mul...
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Deep Encoderdecoder Adversarial Reconstruction (DEAR) Network for 3D CT from Fewview Data
Xray computed tomography (CT) is widely used in clinical practice. The ...
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Deep Efficient Endtoend Reconstruction (DEER) Network for Lowdose Fewview Breast CT from Projection Data
Breast CT provides image volumes with isotropic resolution in high contr...
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Duality of Width and Depth of Neural Networks
Here, we report that the depth and the width of a neural network are dua...
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Truth Discovery via Proxy Voting
Truth discovery is a general name for a broad range of statistical metho...
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Can Deep Learning Outperform Modern Commercial CT Image Reconstruction Methods?
Commercial iterative reconstruction techniques on modern CT scanners tar...
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Boundaryweighted Domain Adaptive Neural Network for Prostate MR Image Segmentation
Accurate segmentation of the prostate from magnetic resonance (MR) image...
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An imagedriven machine learning approach to kinetic modeling of a discontinuous precipitation reaction
Micrograph quantification is an essential component of several materials...
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Multiperson Spatial Interaction in a Large Immersive Display Using Smartphones as Touchpads
In this paper, we present a multiuser interaction interface for a large...
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Universal Approximation with Quadratic Deep Networks
Recently, deep learning has been playing a central role in machine learn...
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Rational Neural Networks for Approximating Jump Discontinuities of Graph Convolution Operator
For node level graph encoding, a recent important stateofart method is...
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Nonisometric Surface Registration via Conformal LaplaceBeltrami Basis Pursuit
Surface registration is one of the most fundamental problems in geometry...
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Knowledgebased Analysis for Mortality Prediction from CT Images
Recent studies have highlighted the high correlation between cardiovascu...
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A Grounded Unsupervised Universal PartofSpeech Tagger for LowResource Languages
Unsupervised part of speech (POS) tagging is often framed as a clusterin...
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Dual Network Architecture for Fewview CT Trained on ImageNet Data and Transferred for Medical Imaging
Xray computed tomography (CT) reconstructs crosssectional images from ...
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CommunicationEfficient Distributed Learning via Lazily Aggregated Quantized Gradients
The present paper develops a novel aggregated gradient approach for dist...
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A DependencyBased Neural Network for Relation Classification
Previous research on relation classification has verified the effectiven...
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Influence of Personal Preferences on Link Dynamics in Social Networks
We study a unique network dataset including periodic surveys and electro...
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Application of a Shallow Neural Network to ShortTerm Stock Trading
Machine learning is increasingly prevalent in stock market trading. Thou...
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Towards CognitiveandImmersive Systems: Experiments in a Shared (or common) Blockworld Framework
As computational power has continued to increase, and sensors have becom...
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A Generative Restricted Boltzmann Machine Based Method for HighDimensional Motion Data Modeling
Many computer vision applications involve modeling complex spatiotempor...
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From Data to City Indicators: A Knowledge Graph for Supporting Automatic Generation of Dashboards
In the context of Smart Cities, indicator definitions have been used to ...
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Deep Learning for Passive Synthetic Aperture Radar
We introduce a deep learning (DL) framework for inverse problems in imag...
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Scalable Kernel KMeans Clustering with Nystrom Approximation: RelativeError Bounds
Kernel kmeans clustering can correctly identify and extract a far more ...
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Low Dose CT Image Denoising Using a Generative Adversarial Network with Wasserstein Distance and Perceptual Loss
In this paper, we introduce a new CT image denoising method based on the...
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KATE: KCompetitive Autoencoder for Text
Autoencoders have been successful in learning meaningful representations...
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Truthful Mechanisms for Matching and Clustering in an Ordinal World
We study truthful mechanisms for matching and related problems in a part...
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Census Signal Temporal Logic Inference for MultiAgent Group Behavior Analysis
In this paper, we define a novel census signal temporal logic (CensusSTL...
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Rank Persistence: Assessing the Temporal Performance of RealWorld Person ReIdentification
Designing useful person reidentification systems for realworld applica...
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Accelerated PrimalDual Proximal Block Coordinate Updating Methods for Constrained Convex Optimization
Block Coordinate Update (BCU) methods enjoy low perupdate computational...
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Sketched Ridge Regression: Optimization Perspective, Statistical Perspective, and Model Averaging
We address the statistical and optimization impacts of using classical s...
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CrossNets : A New Approach to Complex Learning
We propose a novel neural network structure called CrossNets, which cons...
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Building a FineGrained Entity Typing System Overnight for a New X (X = Language, Domain, Genre)
Recent research has shown great progress on finegrained entity typing. ...
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Randomized Social Choice Functions Under Metric Preferences
We determine the quality of randomized social choice mechanisms in a set...
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Hybrid Jacobian and GaussSeidel proximal block coordinate update methods for linearly constrained convex programming
Recent years have witnessed the rapid development of block coordinate up...
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Manifold Based Lowrank Regularization for Image Restoration and Semisupervised Learning
Lowrank structures play important role in recent advances of many probl...
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Allocating Indivisible Items in Categorized Domains
We formulate a general class of allocation problems called categorized d...
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Optimal Sparse Linear AutoEncoders and Sparse PCA
Principal components analysis (PCA) is the optimal linear autoencoder o...
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Possible and Necessary Allocations via Sequential Mechanisms
A simple mechanism for allocating indivisible resources is sequential al...
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A Statistical DecisionTheoretic Framework for Social Choice
In this paper, we take a statistical decisiontheoretic viewpoint on soc...
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Advances in Learning Bayesian Networks of Bounded Treewidth
This work presents novel algorithms for learning Bayesian network struct...
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A Randomized Rounding Algorithm for Sparse PCA
We present and analyze a simple, twostep algorithm to approximate the o...
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Feature Selection for Ridge Regression with Provable Guarantees
We introduce singleset spectral sparsification as a deterministic sampl...
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Sketching for Sequential ChangePoint Detection
We study sequential changepoint detection using sketches (linear projec...
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A Systematic Evaluation and Benchmark for Person ReIdentification: Features, Metrics, and Datasets
Person reidentification (reid) is a critical problem in video analytic...
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Approximating Sparse PCA from Incomplete Data
We study how well one can recover sparse principal components of a data ...
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Recovering PCA from Hybrid(ℓ_1,ℓ_2) Sparse Sampling of Data Elements
This paper addresses how well we can recover a data matrix when only giv...
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NPHardness and Inapproximability of Sparse PCA
We give a reduction from clique to establish that sparse PCA is NPhard...
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Rensselaer Polytechnic Institute
The institute was established in 1824 by Stephen van Rensselaer and Amos Eaton for the "application of science to the common purposes of life" and is described as the oldest technological university in the Englishspeaking world.