University of Connecticut

∙ Storrs , United States ∙ 0 followers

The University of Connecticut is a public land grant, National Sea Grant and National Space Grant research university in Storrs, Connecticut, United States.

Nonlinear Time Series Classification Using Bispectrum-based Deep Convolutional Neural Networks

Time series classification using novel techniques has experienced a rece...
03/04/2020 ∙ by Paul A. Parker, et al. ∙ 79 ∙ share

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Real-Time Topology Optimization in 3D via Deep Transfer Learning

The published literature on topology optimization has exploded over the ...
02/11/2021 ∙ by MohammadMahdi Behzadi, et al. ∙ 34 ∙ share

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Discrete Graph Structure Learning for Forecasting Multiple Time Series

Time series forecasting is an extensively studied subject in statistics,...
01/18/2021 ∙ by Chao Shang, et al. ∙ 21 ∙ share

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Deep Learning Inversion of Electrical Resistivity Data

The inverse problem of electrical resistivity surveys (ERS) is difficult...
04/10/2019 ∙ by Bin Liu, et al. ∙ 20 ∙ share

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Tiny but Accurate: A Pruned, Quantized and Optimized Memristor Crossbar Framework for Ultra Efficient DNN Implementation

The state-of-art DNN structures involve intensive computation and high m...
08/27/2019 ∙ by Xiaolong Ma, et al. ∙ 19 ∙ share

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Resist : Reconstruction of irises from templates

Iris recognition systems transform an iris image into a feature vector. ...
07/31/2020 ∙ by Sohaib Ahmad, et al. ∙ 12 ∙ share

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Unconstrained Iris Segmentation using Convolutional Neural Networks

The extraction of consistent and identifiable features from an image of ...
12/19/2018 ∙ by Sohaib Ahmad, et al. ∙ 10 ∙ share

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End-to-end Structure-Aware Convolutional Networks for Knowledge Base Completion

Knowledge graph embedding has been an active research topic for knowledg...
11/11/2018 ∙ by Chao Shang, et al. ∙ 4 ∙ share

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Path Planning Using Probability Tensor Flows

Probability models have been proposed in the literature to account for "...
03/05/2020 ∙ by Francesco A. N. Palmieri, et al. ∙ 3 ∙ share

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ThirdEye: Triplet Based Iris Recognition without Normalization

Most iris recognition pipelines involve three stages: segmenting into ir...
07/13/2019 ∙ by Sohaib Ahmad, et al. ∙ 1 ∙ share

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VIGAN: Missing View Imputation with Generative Adversarial Networks

In an era when big data are becoming the norm, there is less concern wit...
08/22/2017 ∙ by Chao Shang, et al. ∙ 0 ∙ share

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A Survey on Multi-View Clustering

With the fast development of information technology, especially the popu...
12/18/2017 ∙ by Guoqing Chao, et al. ∙ 0 ∙ share

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A Microkernel Architecture for Constraint Programming

This paper presents a microkernel architecture for constraint programmin...
01/21/2014 ∙ by Laurent Michel, et al. ∙ 0 ∙ share

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Regularization vs. Relaxation: A conic optimization perspective of statistical variable selection

Variable selection is a fundamental task in statistical data analysis. S...
10/20/2015 ∙ by Hongbo Dong, et al. ∙ 0 ∙ share

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Negative Example Aided Transcription Factor Binding Site Search

Computational approaches to transcription factor binding site identifica...
04/07/2011 ∙ by Chih Lee, et al. ∙ 0 ∙ share

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L_0 regularized estimation for nonlinear models that have sparse underlying linear structures

We study the estimation of β for the nonlinear model y = f(Xβ) + ϵ when ...
10/14/2009 ∙ by Zhiyi Chi, et al. ∙ 0 ∙ share

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Flat ORAM: A Simplified Write-Only Oblivious RAM Construction for Secure Processors

Oblivious RAM (ORAM) is a cryptographic primitive which obfuscates the a...
11/04/2016 ∙ by Syed Kamran Haider, et al. ∙ 0 ∙ share

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Supporting Ruled Polygons

We explore several problems related to ruled polygons. Given a ruling of...
07/04/2017 ∙ by Nicholas J. Cavanna, et al. ∙ 0 ∙ share

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More Efficient Estimation for Logistic Regression with Optimal Subsample

Facing large amounts of data, subsampling is a practical technique to ex...
02/08/2018 ∙ by HaiYing Wang, et al. ∙ 0 ∙ share

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Efficient Exact Paths For Dyck and semi-Dyck Labeled Path Reachability

The exact path length problem is to determine if there is a path of a gi...
02/14/2018 ∙ by Phillip G. Bradford, et al. ∙ 0 ∙ share

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RT-DAP: A Real-Time Data Analytics Platform for Large-scale Industrial Process Monitoring and Control

In most process control systems nowadays, process measurements are perio...
02/22/2018 ∙ by Song Han, et al. ∙ 0 ∙ share

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Unleashing and Speeding Up Readers in Atomic Object Implementations

Providing efficient emulations of atomic read/write objects in asynchron...
03/29/2018 ∙ by Chryssis Georgiou, et al. ∙ 0 ∙ share

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A Mixture Model to Detect Edges in Sparse Co-expression Graphs

In the early days of microarray data, the medical and statistical commun...
04/03/2018 ∙ by Haim Bar, et al. ∙ 0 ∙ share

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Predictive and Prescriptive Analytics for Location Selection of Add-on Retail Products

In this paper, we study an analytical approach to selecting expansion lo...
04/03/2018 ∙ by Teng Huang, et al. ∙ 0 ∙ share

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Image Moment Models for Extended Object Tracking

In this paper, a novel image moments based model for shape estimation an...
04/09/2018 ∙ by Gang Yao, et al. ∙ 0 ∙ share

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How to Realize a Graph on Random Points

We are given an integer d, a graph G=(V,E), and a uniformly random embed...
04/23/2018 ∙ by Saad Quader, et al. ∙ 0 ∙ share

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Efficient Sequential and Parallel Algorithms for Estimating Higher Order Spectra

Polyspectral estimation is a problem of great importance in the analysis...
05/30/2018 ∙ by Abdullah-Al Mamun, et al. ∙ 0 ∙ share

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On estimation for Brownian motion governed by telegraph process with multiple off states

Brownian motion whose infinitesimal variance changes according to a thre...
06/03/2018 ∙ by Vladimir Pozdnyakov, et al. ∙ 0 ∙ share

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Optimal Subsampling Algorithms for Big Data Generalized Linear Models

To fast approximate the maximum likelihood estimator with massive data, ...
06/18/2018 ∙ by Mingyao Ai, et al. ∙ 0 ∙ share

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Integrative Multi-View Reduced-Rank Regression: Bridging Group-Sparse and Low-Rank Models

Multi-view data have been routinely collected in various fields of scien...
07/26/2018 ∙ by Gen Li, et al. ∙ 0 ∙ share

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Log-Contrast Regression with Functional Compositional Predictors: Linking Preterm Infant's Gut Microbiome Trajectories in Early Postnatal Period to Neurobehavioral Outcome

When compositional data serve as predictors in regression, the log-contr...
08/07/2018 ∙ by Zhe Sun, et al. ∙ 0 ∙ share

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An Online Updating Approach for Testing the Proportional Hazards Assumption with Streams of Big Survival Data

The Cox model, which remains as the first choice in analyzing time-to-ev...
09/05/2018 ∙ by Yishu Xue, et al. ∙ 0 ∙ share

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Improving Optimization Bounds using Machine Learning: Decision Diagrams meet Deep Reinforcement Learning

Finding tight bounds on the optimal solution is a critical element of pr...
09/10/2018 ∙ by Quentin Cappart, et al. ∙ 0 ∙ share

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Characterization of Convex Objective Functions and Optimal Expected Convergence Rates for SGD

We study Stochastic Gradient Descent (SGD) with diminishing step sizes f...
10/09/2018 ∙ by Marten van Dijk, et al. ∙ 0 ∙ share

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Tight Dimension Independent Lower Bound on Optimal Expected Convergence Rate for Diminishing Step Sizes in SGD

We study convergence of Stochastic Gradient Descent (SGD) for strongly c...
10/10/2018 ∙ by Phuong Ha Nguyen, et al. ∙ 0 ∙ share

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Algorithms and Fundamental Limits for Unlabeled Detection using Types

Emerging applications of sensor networks for detection sometimes suggest...
10/17/2018 ∙ by Stefano Marano, et al. ∙ 0 ∙ share

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Boosted Sparse and Low-Rank Tensor Regression

We propose a sparse and low-rank tensor regression model to relate a uni...
11/03/2018 ∙ by Lifang He, et al. ∙ 0 ∙ share

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Communication-Optimal Distributed Dynamic Graph Clustering

We consider the problem of clustering graph nodes over large-scale dynam...
11/14/2018 ∙ by Chun Jiang Zhu, et al. ∙ 0 ∙ share

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Representation, Justification and Explanation in a Value Driven Agent: An Argumentation-Based Approach

For an autonomous system, the ability to justify and explain its decisio...
12/13/2018 ∙ by Beishui Liao, et al. ∙ 0 ∙ share

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Toward a Theory of Cyber Attacks

We provide a general methodology for analyzing defender-attacker based "...
01/06/2019 ∙ by Saeed Valizadeh, et al. ∙ 0 ∙ share

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On modeling hard combinatorial optimization problems as linear programs: Refutations of the "unconditional impossibility" claims

There has been a series of developments in the recent literature (by ess...
02/10/2019 ∙ by Moustapha Diaby, et al. ∙ 0 ∙ share

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DOCSDN: Dynamic and Optimal Configuration of Software-Defined Networks

Networks are designed with functionality, security, performance, and cos...
02/15/2019 ∙ by Timothy Curry, et al. ∙ 0 ∙ share

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On the Convergence Rates of Learning-based Signature Generation Schemes to Contain Self-propagating Malware

In this paper, we investigate the importance of a defense system's learn...
05/01/2019 ∙ by Saeed Valizadeh, et al. ∙ 0 ∙ share

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Divide-and-Conquer Information-Based Optimal Subdata Selection Algorithm

The information-based optimal subdata selection (IBOSS) is a computation...
05/23/2019 ∙ by HaiYing Wang, et al. ∙ 0 ∙ share

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CARE: Cooperative Autonomy for Resilience and Efficiency of Robot Teams for Complete Coverage of Unknown Environments under Robot Failures

This paper addresses the problem of Multi-robot Coverage Path Planning (...
05/29/2019 ∙ by Junnan Song, et al. ∙ 0 ∙ share

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Global and local pointwise error estimates for finite element approximations to the Stokes problem on convex polyhedra

The main goal of the paper is to show new stability and localization res...
07/16/2019 ∙ by Niklas Behringer, et al. ∙ 0 ∙ share

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Clustering Activity-Travel Behavior Time Series using Topological Data Analysis

Over the last few years, traffic data has been exploding and the transpo...
07/17/2019 ∙ by Renjie Chen, et al. ∙ 0 ∙ share

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A Bayesian Joint Model for Spatial Point Processes with Application to Basketball Shot Chart

The success rate of a basketball shot may be higher at locations where a...
08/15/2019 ∙ by Jieying Jiao, et al. ∙ 0 ∙ share

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Geographically Weighted Cox Regression for Prostate Cancer Survival Data in Louisiana

The Cox proportional hazard model is one of the most popular tools in an...
08/24/2019 ∙ by Yishu Xue, et al. ∙ 0 ∙ share

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Weak discrete maximum principle of finite element methods in convex polyhedra

We prove that the Galerkin finite element solution u_h of the Laplace eq...
09/15/2019 ∙ by Dmitriy Leykekhman, et al. ∙ 0 ∙ share

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