University of Delaware

research

∙ 03/13/2020

Learning Graph Embedding with Limited Labeled Data: An Efficient Sampling Approach

Semi-supervised graph embedding methods represented by graph convolution...

Qirui Li, et al. ∙

research

∙ 12/27/2019

The Chi-Square Test of Distance Correlation

Distance correlation has gained much recent attention in the statistics ...

Cencheng Shen, et al. ∙

research

∙ 01/20/2020

A deep network for sinogram and CT image reconstruction

A CT image can be well reconstructed when the sampling rate of the sinog...

Wei Wang, et al. ∙

research

∙ 11/04/2021

Identifying the Leading Factors of Significant Weight Gains Using a New Rule Discovery Method

Overweight and obesity remain a major global public health concern and i...

Mina Samizadeh, et al. ∙

research

∙ 08/26/2021

Enhanced Seq2Seq Autoencoder via Contrastive Learning for Abstractive Text Summarization

In this paper, we present a denoising sequence-to-sequence (seq2seq) aut...

Chujie Zheng, et al. ∙

research

∙ 10/06/2019

Rethinking Kernel Methods for Node Representation Learning on Graphs

Graph kernels are kernel methods measuring graph similarity and serve as...

Yu Tian, et al. ∙

research

∙ 10/15/2020

Maximum-Entropy Adversarial Data Augmentation for Improved Generalization and Robustness

Adversarial data augmentation has shown promise for training robust deep...

Long Zhao, et al. ∙

research

∙ 11/08/2018

Learning Dense Stereo Matching for Digital Surface Models from Satellite Imagery

Digital Surface Model generation from satellite imagery is a difficult t...

Wayne Treible, et al. ∙

research

∙ 01/07/2022

A three-dimensional dual-domain deep network for high-pitch and sparse helical CT reconstruction

In this paper, we propose a new GPU implementation of the Katsevich algo...

Wei Wang, et al. ∙

research

∙ 03/30/2020

Learning to Learn Single Domain Generalization

We are concerned with a worst-case scenario in model generalization, in ...

Fengchun Qiao, et al. ∙

research

∙ 08/16/2021

Understanding the factors driving the opioid epidemic using machine learning

In recent years, the US has experienced an opioid epidemic with an unpre...

Sachin Gavali, et al. ∙

research

∙ 04/01/2020

Knowledge as Priors: Cross-Modal Knowledge Generalization for Datasets without Superior Knowledge

Cross-modal knowledge distillation deals with transferring knowledge fro...

Long Zhao, et al. ∙

research

∙ 03/28/2017

Robust Guided Image Filtering

The process of using one image to guide the filtering process of another...

Wei Liu, et al. ∙

research

∙ 11/29/2017

Deep Eyes: Binocular Depth-from-Focus on Focal Stack Pairs

Human visual system relies on both binocular stereo cues and monocular f...

Xinqing Guo, et al. ∙

research

∙ 10/26/2017

From Distance Correlation to Multiscale Generalized Correlation

Understanding and developing a correlation measure that can detect gener...

Cencheng Shen, et al. ∙

research

∙ 09/04/2017

Hyperspectral Light Field Stereo Matching

In this paper, we describe how scene depth can be extracted using a hype...

Kang Zhu, et al. ∙

research

∙ 07/10/2017

An Interactive Greedy Approach to Group Sparsity in High Dimension

Sparsity learning with known grouping structures has received considerab...

Wei Qian, et al. ∙

research

∙ 08/25/2017

A wavelet frame coefficient total variational model for image restoration

In this paper, we propose a Rudin-Osher-Fatemi(ROF)-like model for image...

Wei Wang, et al. ∙

research

∙ 08/02/2017

A Learning-based Framework for Hybrid Depth-from-Defocus and Stereo Matching

Depth from defocus (DfD) and stereo matching are two most studied passiv...

Zhang Chen, et al. ∙

research

∙ 08/15/2016

Occlusion-Model Guided Anti-Occlusion Depth Estimation in Light Field

Occlusion is one of the most challenging problems in depth estimation. P...

Qing Wang, et al. ∙

research

∙ 06/14/2015

Resolving Scale Ambiguity Via XSlit Aspect Ratio Analysis

In perspective cameras, images of a frontal-parallel 3D object preserve ...

Wei Yang, et al. ∙

research

∙ 10/03/2014

Im2Fit: Fast 3D Model Fitting and Anthropometrics using Single Consumer Depth Camera and Synthetic Data

Recent advances in consumer depth sensors have created many opportunitie...

Qiaosong Wang, et al. ∙

research

∙ 10/31/2017

A Scaled Smart City for Experimental Validation of Connected and Automated Vehicles

The common thread that characterizes energy efficient mobility systems f...

Adam Stager, et al. ∙

research

∙ 09/26/2017

The smallest eigenvalues of Hamming graphs, Johnson graphs and other distance-regular graphs with classical parameters

We prove a conjecture by Van Dam and Sotirov on the smallest eigenvalue ...

Andries E. Brouwer, et al. ∙

research

∙ 08/25/2017

Spectral and Combinatorial Properties of Some Algebraically Defined Graphs

Let k> 3 be an integer, q be a prime power, and F_q denote the field of ...

Sebastian M. Cioabă, et al. ∙

research

∙ 01/31/2018

Robust 3D Human Motion Reconstruction Via Dynamic Template Construction

In multi-view human body capture systems, the recovered 3D geometry or e...

Zhong Li, et al. ∙

research

∙ 01/05/2018

Comment Generation for Source Code: State of the Art, Challenges and Opportunities

Researches have shown that most effort of today's software development i...

Xiaoran Wang, et al. ∙

research

∙ 05/02/2018

A spectral version of the Moore problem for bipartite regular graphs

Let b(k,θ) be the maximum order of a connected bipartite k-regular graph...

Sebastian M. Cioabă, et al. ∙

research

∙ 05/07/2018

Continuous Preintegration Theory for Graph-based Visual-Inertial Navigation

In this paper we propose a new continuous preintegration theory for grap...

Kevin Eckenhoff, et al. ∙

research

∙ 05/10/2018

Robocentric Visual-Inertial Odometry

In this paper, we propose a novel robocentric formulation of the visual-...

Zheng Huai, et al. ∙

research

∙ 05/12/2018

Observability Analysis of Aided INS with Heterogeneous Features of Points, Lines and Planes

In this paper, we perform a thorough observability analysis for lineariz...

Yulin Yang, et al. ∙

research

∙ 05/17/2018

An extension of the Plancherel measure

Given a distribution in the unite square and having iid sample from it t...

Miklós Arató, et al. ∙

research

∙ 05/20/2018

Lightweight Unsupervised Deep Loop Closure

Robust efficient loop closure detection is essential for large-scale rea...

Nate Merrill, et al. ∙

research

∙ 05/23/2018

Visual-Inertial Target Tracking and Motion Planning for UAV-based Radiation Detection

This paper addresses the problem of detecting radioactive material in tr...

Indrajeet Yadav, et al. ∙

research

∙ 06/14/2018

The Exact Equivalence of Distance and Kernel Methods for Hypothesis Testing

Distance-based methods, also called "energy statistics", are leading met...

Cencheng Shen, et al. ∙

research

∙ 06/25/2018

Traffic Differentiation in Dense WLANs with CSMA/ECA-DR MAC Protocol

In today's WLANs, scheduling of packet transmissions solely relies on th...

Seyedmohammad Salehi, et al. ∙

research

∙ 08/14/2018

Addressing Johnson graphs, complete multipartite graphs, odd cycles and other graphs

Graham and Pollak showed that the vertices of any graph G can be address...

Sebastian M. Cioabă, et al. ∙

research

∙ 08/23/2018

An Exact Upper Bound on the L^p Lebesgue Constant and The ∞-Rényi Entropy Power Inequality for Integer Valued Random Variables

In this paper, we proved an exact asymptotically sharp upper bound of th...

Peng Xu, et al. ∙

research

∙ 09/13/2018

Blockchain-inspired Event Recording System for Autonomous Vehicles

Autonomous vehicles are capable of sensing their environment and navigat...

Hao Guo, et al. ∙

research

∙ 09/24/2018

Power and Energy-efficiency Roofline Model for GPUs

Energy consumption has been a great deal of concern in recent years and ...

Millad Ghane, et al. ∙

research

∙ 09/27/2018

Security Implications of Fog Computing on the Internet of Things

Recently, the use of IoT devices and sensors has been rapidly increased ...

Ismail Butun, et al. ∙

research

∙ 10/12/2018

4D Human Body Correspondences from Panoramic Depth Maps

The availability of affordable 3D full body reconstruction systems has g...

Zhong Li, et al. ∙

research

∙ 11/01/2018

Entropy versus variance for symmetric log-concave random variables and related problems

We show that the uniform distribution minimises entropy among all symmet...

Mokshay Madiman, et al. ∙

research

∙ 11/07/2018

Joint Tx-Rx Beamforming and Power Allocation for 5G Millimeter-Wave Non-Orthogonal Multiple Access (MmWave-NOMA) Networks

In this paper, we investigate the combination of non-orthogonal multiple...

Lipeng Zhu, et al. ∙

research

∙ 11/20/2018

An Isoperimetric Result on High-Dimensional Spheres

We consider an extremal problem for subsets of high-dimensional spheres ...

Leighton Pate Barnes, et al. ∙

research

∙ 11/30/2018

Decision Forests Induce Characteristic Kernels

Decision forests are popular tools for classification and regression. Th...

Cencheng Shen, et al. ∙

research

∙ 12/14/2018

Simulation to scaled city: zero-shot policy transfer for traffic control via autonomous vehicles

Using deep reinforcement learning, we train control policies for autonom...

Kathy Jang, et al. ∙

research

∙ 01/16/2019

Beyond Uniform Reverse Sampling: A Hybrid Sampling Technique for Misinformation Prevention

Online misinformation has been considered as one of the top global risks...

Gunagmo Tong, et al. ∙

research

∙ 02/05/2019

Joint Millimeter Wave and Microwave Wave Resource Allocation Design for Dual-Mode Base Stations

In this paper, we consider the design of joint resource blocks (RBs) and...

Biqian Feng, et al. ∙

research

∙ 03/05/2019

Demonstration of a Time-Efficient Mobility System Using a Scaled Smart City

The implementation of connected and automated vehicle (CAV) technologies...

Logan E. Beaver, et al. ∙

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