University of Connecticut

research

∙ 03/04/2020

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

Time series classification using novel techniques has experienced a rece...

Paul A. Parker, et al. ∙

research

∙ 02/11/2021

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

The published literature on topology optimization has exploded over the ...

MohammadMahdi Behzadi, et al. ∙

research

∙ 08/10/2021

Binary Complex Neural Network Acceleration on FPGA

Being able to learn from complex data with phase information is imperati...

Hongwu Peng, et al. ∙

research

∙ 01/18/2021

Discrete Graph Structure Learning for Forecasting Multiple Time Series

Time series forecasting is an extensively studied subject in statistics,...

Chao Shang, et al. ∙

research

∙ 04/10/2019

Deep Learning Inversion of Electrical Resistivity Data

The inverse problem of electrical resistivity surveys (ERS) is difficult...

Bin Liu, et al. ∙

research

∙ 08/27/2019

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...

Xiaolong Ma, et al. ∙

research

∙ 12/02/2021

HMC with Normalizing Flows

We propose using Normalizing Flows as a trainable kernel within the mole...

Sam Foreman, et al. ∙

research

∙ 07/31/2020

Resist : Reconstruction of irises from templates

Iris recognition systems transform an iris image into a feature vector. ...

Sohaib Ahmad, et al. ∙

research

∙ 12/19/2018

Unconstrained Iris Segmentation using Convolutional Neural Networks

The extraction of consistent and identifiable features from an image of ...

Sohaib Ahmad, et al. ∙

research

∙ 10/15/2021

Sparse Progressive Distillation: Resolving Overfitting under Pretrain-and-Finetune Paradigm

Various pruning approaches have been proposed to reduce the footprint re...

Shaoyi Huang, et al. ∙

research

∙ 11/11/2018

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

Knowledge graph embedding has been an active research topic for knowledg...

Chao Shang, et al. ∙

research

∙ 03/05/2020

Path Planning Using Probability Tensor Flows

Probability models have been proposed in the literature to account for "...

Francesco A. N. Palmieri, et al. ∙

research

∙ 07/13/2019

ThirdEye: Triplet Based Iris Recognition without Normalization

Most iris recognition pipelines involve three stages: segmenting into ir...

Sohaib Ahmad, et al. ∙

research

∙ 08/22/2017

VIGAN: Missing View Imputation with Generative Adversarial Networks

In an era when big data are becoming the norm, there is less concern wit...

Chao Shang, et al. ∙

research

∙ 12/18/2017

A Survey on Multi-View Clustering

With the fast development of information technology, especially the popu...

Guoqing Chao, et al. ∙

research

∙ 01/21/2014

A Microkernel Architecture for Constraint Programming

This paper presents a microkernel architecture for constraint programmin...

Laurent Michel, et al. ∙

research

∙ 10/20/2015

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

Variable selection is a fundamental task in statistical data analysis. S...

Hongbo Dong, et al. ∙

research

∙ 04/07/2011

Negative Example Aided Transcription Factor Binding Site Search

Computational approaches to transcription factor binding site identifica...

Chih Lee, et al. ∙

research

∙ 10/14/2009

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 ...

Zhiyi Chi, et al. ∙

research

∙ 11/04/2016

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

Oblivious RAM (ORAM) is a cryptographic primitive which obfuscates the a...

Syed Kamran Haider, et al. ∙

research

∙ 07/04/2017

Supporting Ruled Polygons

We explore several problems related to ruled polygons. Given a ruling of...

Nicholas J. Cavanna, et al. ∙

research

∙ 02/08/2018

More Efficient Estimation for Logistic Regression with Optimal Subsample

Facing large amounts of data, subsampling is a practical technique to ex...

HaiYing Wang, et al. ∙

research

∙ 02/14/2018

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...

Phillip G. Bradford, et al. ∙

research

∙ 02/22/2018

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...

Song Han, et al. ∙

research

∙ 03/29/2018

Unleashing and Speeding Up Readers in Atomic Object Implementations

Providing efficient emulations of atomic read/write objects in asynchron...

Chryssis Georgiou, et al. ∙

research

∙ 04/03/2018

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

In the early days of microarray data, the medical and statistical commun...

Haim Bar, et al. ∙

research

∙ 04/03/2018

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

In this paper, we study an analytical approach to selecting expansion lo...

Teng Huang, et al. ∙

research

∙ 04/09/2018

Image Moment Models for Extended Object Tracking

In this paper, a novel image moments based model for shape estimation an...

Gang Yao, et al. ∙

research

∙ 04/23/2018

How to Realize a Graph on Random Points

We are given an integer d, a graph G=(V,E), and a uniformly random embed...

Saad Quader, et al. ∙

research

∙ 05/30/2018

Efficient Sequential and Parallel Algorithms for Estimating Higher Order Spectra

Polyspectral estimation is a problem of great importance in the analysis...

Abdullah-Al Mamun, et al. ∙

research

∙ 06/03/2018

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

Brownian motion whose infinitesimal variance changes according to a thre...

Vladimir Pozdnyakov, et al. ∙

research

∙ 06/18/2018

Optimal Subsampling Algorithms for Big Data Generalized Linear Models

To fast approximate the maximum likelihood estimator with massive data, ...

Mingyao Ai, et al. ∙

research

∙ 07/26/2018

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...

Gen Li, et al. ∙

research

∙ 08/07/2018

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...

Zhe Sun, et al. ∙

research

∙ 09/05/2018

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...

Yishu Xue, et al. ∙

research

∙ 09/10/2018

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...

Quentin Cappart, et al. ∙

research

∙ 10/09/2018

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

We study Stochastic Gradient Descent (SGD) with diminishing step sizes f...

Marten van Dijk, et al. ∙

research

∙ 10/10/2018

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...

Phuong Ha Nguyen, et al. ∙

research

∙ 10/17/2018

Algorithms and Fundamental Limits for Unlabeled Detection using Types

Emerging applications of sensor networks for detection sometimes suggest...

Stefano Marano, et al. ∙

research

∙ 11/03/2018

Boosted Sparse and Low-Rank Tensor Regression

We propose a sparse and low-rank tensor regression model to relate a uni...

Lifang He, et al. ∙

research

∙ 11/14/2018

Communication-Optimal Distributed Dynamic Graph Clustering

We consider the problem of clustering graph nodes over large-scale dynam...

Chun Jiang Zhu, et al. ∙

research

∙ 12/13/2018

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...

Beishui Liao, et al. ∙

research

∙ 01/06/2019

Toward a Theory of Cyber Attacks

We provide a general methodology for analyzing defender-attacker based "...

Saeed Valizadeh, et al. ∙

research

∙ 02/10/2019

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...

Moustapha Diaby, et al. ∙

research

∙ 02/15/2019

DOCSDN: Dynamic and Optimal Configuration of Software-Defined Networks

Networks are designed with functionality, security, performance, and cos...

Timothy Curry, et al. ∙

research

∙ 05/01/2019

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...

Saeed Valizadeh, et al. ∙

research

∙ 05/23/2019

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

The information-based optimal subdata selection (IBOSS) is a computation...

HaiYing Wang, et al. ∙

research

∙ 05/29/2019

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 (...

Junnan Song, et al. ∙

research

∙ 07/16/2019

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...

Niklas Behringer, et al. ∙

research

∙ 07/17/2019

Clustering Activity-Travel Behavior Time Series using Topological Data Analysis

Over the last few years, traffic data has been exploding and the transpo...

Renjie Chen, et al. ∙

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