
Nonlinear Time Series Classification Using Bispectrumbased Deep Convolutional Neural Networks
Time series classification using novel techniques has experienced a rece...
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RealTime Topology Optimization in 3D via Deep Transfer Learning
The published literature on topology optimization has exploded over the ...
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Discrete Graph Structure Learning for Forecasting Multiple Time Series
Time series forecasting is an extensively studied subject in statistics,...
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Deep Learning Inversion of Electrical Resistivity Data
The inverse problem of electrical resistivity surveys (ERS) is difficult...
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Tiny but Accurate: A Pruned, Quantized and Optimized Memristor Crossbar Framework for Ultra Efficient DNN Implementation
The stateofart DNN structures involve intensive computation and high m...
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Resist : Reconstruction of irises from templates
Iris recognition systems transform an iris image into a feature vector. ...
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Unconstrained Iris Segmentation using Convolutional Neural Networks
The extraction of consistent and identifiable features from an image of ...
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Endtoend StructureAware Convolutional Networks for Knowledge Base Completion
Knowledge graph embedding has been an active research topic for knowledg...
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Path Planning Using Probability Tensor Flows
Probability models have been proposed in the literature to account for "...
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ThirdEye: Triplet Based Iris Recognition without Normalization
Most iris recognition pipelines involve three stages: segmenting into ir...
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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...
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A Survey on MultiView Clustering
With the fast development of information technology, especially the popu...
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A Microkernel Architecture for Constraint Programming
This paper presents a microkernel architecture for constraint programmin...
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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...
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Negative Example Aided Transcription Factor Binding Site Search
Computational approaches to transcription factor binding site identifica...
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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 ...
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Flat ORAM: A Simplified WriteOnly Oblivious RAM Construction for Secure Processors
Oblivious RAM (ORAM) is a cryptographic primitive which obfuscates the a...
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Supporting Ruled Polygons
We explore several problems related to ruled polygons. Given a ruling of...
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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...
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Efficient Exact Paths For Dyck and semiDyck Labeled Path Reachability
The exact path length problem is to determine if there is a path of a gi...
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RTDAP: A RealTime Data Analytics Platform for Largescale Industrial Process Monitoring and Control
In most process control systems nowadays, process measurements are perio...
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Unleashing and Speeding Up Readers in Atomic Object Implementations
Providing efficient emulations of atomic read/write objects in asynchron...
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A Mixture Model to Detect Edges in Sparse Coexpression Graphs
In the early days of microarray data, the medical and statistical commun...
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Predictive and Prescriptive Analytics for Location Selection of Addon Retail Products
In this paper, we study an analytical approach to selecting expansion lo...
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Image Moment Models for Extended Object Tracking
In this paper, a novel image moments based model for shape estimation an...
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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...
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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...
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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...
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Optimal Subsampling Algorithms for Big Data Generalized Linear Models
To fast approximate the maximum likelihood estimator with massive data, ...
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Integrative MultiView ReducedRank Regression: Bridging GroupSparse and LowRank Models
Multiview data have been routinely collected in various fields of scien...
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LogContrast 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 logcontr...
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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 timetoev...
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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...
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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...
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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...
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Algorithms and Fundamental Limits for Unlabeled Detection using Types
Emerging applications of sensor networks for detection sometimes suggest...
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Boosted Sparse and LowRank Tensor Regression
We propose a sparse and lowrank tensor regression model to relate a uni...
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CommunicationOptimal Distributed Dynamic Graph Clustering
We consider the problem of clustering graph nodes over largescale dynam...
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Representation, Justification and Explanation in a Value Driven Agent: An ArgumentationBased Approach
For an autonomous system, the ability to justify and explain its decisio...
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Toward a Theory of Cyber Attacks
We provide a general methodology for analyzing defenderattacker based "...
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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...
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DOCSDN: Dynamic and Optimal Configuration of SoftwareDefined Networks
Networks are designed with functionality, security, performance, and cos...
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On the Convergence Rates of Learningbased Signature Generation Schemes to Contain Selfpropagating Malware
In this paper, we investigate the importance of a defense system's learn...
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DivideandConquer InformationBased Optimal Subdata Selection Algorithm
The informationbased optimal subdata selection (IBOSS) is a computation...
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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 Multirobot Coverage Path Planning (...
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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...
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Clustering ActivityTravel Behavior Time Series using Topological Data Analysis
Over the last few years, traffic data has been exploding and the transpo...
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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...
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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...
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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...
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University of Connecticut
The University of Connecticut is a public land grant, National Sea Grant and National Space Grant research university in Storrs, Connecticut, United States.