The University of Texas at Arlington

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The University of Texas at Arlington is a public research university located in Arlington, Texas, United States, midway between Dallas and Fort Worth.

Discrimination-aware Network Pruning for Deep Model Compression

We study network pruning which aims to remove redundant channels/kernels...
01/04/2020 ∙ by Jing Liu, et al. ∙ 21 ∙ share

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Local Policy Optimization for Trajectory-Centric Reinforcement Learning

The goal of this paper is to present a method for simultaneous trajector...
01/22/2020 ∙ by Patrik Kolaric, et al. ∙ 14 ∙ share

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Don't Overlook the Support Set: Towards Improving Generalization in Meta-learning

Meta-learning has proven to be a powerful paradigm for transferring the ...
07/26/2020 ∙ by Huaxiu Yao, et al. ∙ 13 ∙ share

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Dual Reconstruction Nets for Image Super-Resolution with Gradient Sensitive Loss

Deep neural networks have exhibited promising performance in image super...
09/19/2018 ∙ by Yong Guo, et al. ∙ 10 ∙ share

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Transferable Neural Processes for Hyperparameter Optimization

Automated machine learning aims to automate the whole process of machine...
09/07/2019 ∙ by Ying Wei, et al. ∙ 10 ∙ share

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Adversarial Representation Learning on Large-Scale Bipartite Graphs

Graph representation on large-scale bipartite graphs is central for a va...
06/27/2019 ∙ by Chaoyang He, et al. ∙ 3 ∙ share

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Dehaze-GLCGAN: Unpaired Single Image De-hazing via Adversarial Training

Single image de-hazing is a challenging problem, and it is far from solv...
08/15/2020 ∙ by Zahra Anvari, et al. ∙ 2 ∙ share

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rna2rna: Predicting lncRNA-microRNA-mRNA Interactions from Sequence with Integration of Interactome and Biological Annotation Data

Long non-coding RNA, microRNA, and messenger RNA enable key regulations ...
06/17/2019 ∙ by Nhat Tran, et al. ∙ 1 ∙ share

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SIRF: Simultaneous Image Registration and Fusion in A Unified Framework

In this paper, we propose a novel method for image fusion with a high-re...
11/18/2014 ∙ by Chen Chen, et al. ∙ 0 ∙ share

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Formally Verified Argument Reduction with a Fused-Multiply-Add

Cody & Waite argument reduction technique works perfectly for reasonably...
08/28/2007 ∙ by Sylvie Boldo, et al. ∙ 0 ∙ share

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Cross-lingual Entity Alignment via Joint Attribute-Preserving Embedding

Entity alignment is the task of finding entities in two knowledge bases ...
08/16/2017 ∙ by Zequn Sun, et al. ∙ 0 ∙ share

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Memory-augmented Attention Modelling for Videos

We present a method to improve video description generation by modeling ...
11/07/2016 ∙ by Rasool Fakoor, et al. ∙ 0 ∙ share

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Accelerating Deep Learning with Shrinkage and Recall

Deep Learning is a very powerful machine learning model. Deep Learning t...
05/04/2016 ∙ by Shuai Zheng, et al. ∙ 0 ∙ share

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Enhancing Sentence Relation Modeling with Auxiliary Character-level Embedding

Neural network based approaches for sentence relation modeling automatic...
03/30/2016 ∙ by Peng Li, et al. ∙ 0 ∙ share

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Clinical Information Extraction via Convolutional Neural Network

We report an implementation of a clinical information extraction tool th...
03/30/2016 ∙ by Peng Li, et al. ∙ 0 ∙ share

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Learning Graph While Training: An Evolving Graph Convolutional Neural Network

Convolution Neural Networks on Graphs are important generalization and e...
08/10/2017 ∙ by Ruoyu Li, et al. ∙ 0 ∙ share

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"RAPID" Regions-of-Interest Detection In Big Histopathological Images

The sheer volume and size of histopathological images (e.g.,10^6 MPixel)...
04/07/2017 ∙ by Li Sulimowicz, et al. ∙ 0 ∙ share

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Feature Based Task Recommendation in Crowdsourcing with Implicit Observations

Existing research in crowdsourcing has investigated how to recommend tas...
02/10/2016 ∙ by Habibur Rahman, et al. ∙ 0 ∙ share

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Improving the Accuracy of the CogniLearn System for Cognitive Behavior Assessment

HTKS is a game-like cognitive assessment method, designed for children b...
03/25/2017 ∙ by Amir Ghaderi, et al. ∙ 0 ∙ share

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Kernel Alignment Inspired Linear Discriminant Analysis

Kernel alignment measures the degree of similarity between two kernels. ...
10/14/2016 ∙ by Shuai Zheng, et al. ∙ 0 ∙ share

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Decentralized learning for wireless communications and networking

This chapter deals with decentralized learning algorithms for in-network...
03/30/2015 ∙ by Georgios B. Giannakis, et al. ∙ 0 ∙ share

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Evaluation of Deep Learning based Pose Estimation for Sign Language Recognition

Human body pose estimation and hand detection are two important tasks fo...
02/29/2016 ∙ by Srujana Gattupalli, et al. ∙ 0 ∙ share

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Forest Sparsity for Multi-channel Compressive Sensing

In this paper, we investigate a new compressive sensing model for multi-...
11/20/2012 ∙ by Chen Chen, et al. ∙ 0 ∙ share

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Fast Iteratively Reweighted Least Squares Algorithms for Analysis-Based Sparsity Reconstruction

In this paper, we propose a novel algorithm for analysis-based sparsity ...
11/18/2014 ∙ by Chen Chen, et al. ∙ 0 ∙ share

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Principal motion components for gesture recognition using a single-example

This paper introduces principal motion components (PMC), a new method fo...
10/17/2013 ∙ by Hugo Jair Escalante, et al. ∙ 0 ∙ share

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Designing Fair Ranking Schemes

Items from a database are often ranked based on a combination of multipl...
12/28/2017 ∙ by Abolfazl Asudehy, et al. ∙ 0 ∙ share

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Uniqueness of Transformation based on Jacobian Determinant and curl-Vector

Numerical examples demonstrated that a prescribed positive Jacobian dete...
12/09/2017 ∙ by Zicong Zhou, et al. ∙ 0 ∙ share

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A Novel Deformation Method for Higher Order Mesh Generation

The development of higher order finite elements methods has become an ac...
10/01/2017 ∙ by Zicong Zhou, et al. ∙ 0 ∙ share

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Medical Image Watermarking using 2D-DWT with Enhanced security and capacity

Teleradiology enables medical images to be transferred over the computer...
03/16/2017 ∙ by Ali Sharifara, et al. ∙ 0 ∙ share

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Adaptive Graph Convolutional Neural Networks

Graph Convolutional Neural Networks (Graph CNNs) are generalizations of ...
01/10/2018 ∙ by Ruoyu Li, et al. ∙ 0 ∙ share

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Constrained Convolutional-Recurrent Networks to Improve Speech Quality with Low Impact on Recognition Accuracy

For a speech-enhancement algorithm, it is highly desirable to simultaneo...
02/16/2018 ∙ by Rasool Fakoor, et al. ∙ 0 ∙ share

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Deep Learning Architectures for Face Recognition in Video Surveillance

Face recognition (FR) systems for video surveillance (VS) applications a...
02/27/2018 ∙ by Saman Bashbaghi, et al. ∙ 0 ∙ share

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RRR: Rank-Regret Representative

We propose the rank-regret representative as a way of choosing a small s...
02/28/2018 ∙ by Abolfazl Asudeh, et al. ∙ 0 ∙ share

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End-to-End Learning of Motion Representation for Video Understanding

Despite the recent success of end-to-end learned representations, hand-c...
04/02/2018 ∙ by Lijie Fan, et al. ∙ 0 ∙ share

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A Multi-Layer Approach to Superpixel-based Higher-order Conditional Random Field for Semantic Image Segmentation

Superpixel-based Higher-order Conditional random fields (SP-HO-CRFs) are...
04/05/2018 ∙ by Li Sulimowicz, et al. ∙ 0 ∙ share

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Image Segmentation using Sparse Subset Selection

In this paper, we present a new image segmentation method based on the c...
04/08/2018 ∙ by Fariba Zohrizadeh, et al. ∙ 0 ∙ share

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Regularized Singular Value Decomposition and Application to Recommender System

Singular value decomposition (SVD) is the mathematical basis of principa...
04/13/2018 ∙ by Shuai Zheng, et al. ∙ 0 ∙ share

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Adaptive Sampling Towards Fast Graph Representation Learning

Graph Convolutional Networks (GCNs) have become a crucial tool on learni...
09/14/2018 ∙ by Wenbing Huang, et al. ∙ 0 ∙ share

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Computational Technologies for Brain Morphometry

In this paper, we described a set of computational technologies for imag...
10/11/2018 ∙ by Zicong Zhou, et al. ∙ 0 ∙ share

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Discrimination-aware Channel Pruning for Deep Neural Networks

Channel pruning is one of the predominant approaches for deep model comp...
10/28/2018 ∙ by Zhuangwei Zhuang, et al. ∙ 0 ∙ share

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Multivariate Forecasting of Crude Oil Spot Prices using Neural Networks

Crude oil is a major component in most advanced economies of the world. ...
11/21/2018 ∙ by Ganapathy S. Natarajan, et al. ∙ 0 ∙ share

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Conditional Recurrent Flow: Conditional Generation of Longitudinal Samples with Applications to Neuroimaging

Generative models using neural network have opened a door to large-scale...
11/24/2018 ∙ by Seong Jae Hwang, et al. ∙ 0 ∙ share

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Solving All Regression Models For Learning Gaussian Networks Using Givens Rotations

Score based learning (SBL) is a promising approach for learning Bayesian...
01/22/2019 ∙ by Borzou Alipourfard, et al. ∙ 0 ∙ share

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A Realistic Dataset and Baseline Temporal Model for Early Drowsiness Detection

Drowsiness can put lives of many drivers and workers in danger. It is im...
04/15/2019 ∙ by Reza Ghoddoosian, et al. ∙ 0 ∙ share

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Query Processing on Large Graphs: Approaches To Scalability and Response Time Trade Offs

With the advent of social networks and the web, the graph sizes have gro...
05/14/2019 ∙ by Soumyava Das, et al. ∙ 0 ∙ share

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A New Estimation Algorithm for Box-Cox Transformation Cure Rate Model and Comparison With EM Algorithm

In this paper, we develop a new estimation procedure based on the non-li...
05/15/2019 ∙ by Suvra Pal, et al. ∙ 0 ∙ share

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Generic Multilayer Network Data Analysis with the Fusion of Content and Structure

Multi-feature data analysis (e.g., on Facebook, LinkedIn) is challenging...
05/21/2019 ∙ by Xuan-Son Vu, et al. ∙ 0 ∙ share

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LapTool-Net: A Contextual Detector of Surgical Tools in Laparoscopic Videos Based on Recurrent Convolutional Neural Networks

We propose a new multilabel classifier, called LapTool-Net to detect the...
05/22/2019 ∙ by Babak Namazi, et al. ∙ 0 ∙ share

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A Projected Non-Linear Conjugate Gradient Algorithm for Destructive Negative Binomial Cure Rate Model

In this paper, we propose a new estimation methodology based on a projec...
05/25/2019 ∙ by Suvra Pal, et al. ∙ 0 ∙ share

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Probabilistic Structure Learning for EEG/MEG Source Imaging with Hierarchical Graph Prior

Brain source imaging is an important method for noninvasively characteri...
06/05/2019 ∙ by Feng Liu, et al. ∙ 0 ∙ share

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