The University of Texas at Arlington

research

∙ 01/04/2020

Discrimination-aware Network Pruning for Deep Model Compression

We study network pruning which aims to remove redundant channels/kernels...

Jing Liu, et al. ∙

research

∙ 06/28/2021

Understanding Cognitive Fatigue from fMRI Scans with Self-supervised Learning

Functional magnetic resonance imaging (fMRI) is a neuroimaging technique...

Ashish Jaiswal, et al. ∙

research

∙ 10/06/2020

Domain Adaptive Transfer Learning on Visual Attention Aware Data Augmentation for Fine-grained Visual Categorization

Fine-Grained Visual Categorization (FGVC) is a challenging topic in comp...

Ashiq Imran, et al. ∙

research

∙ 01/22/2020

Local Policy Optimization for Trajectory-Centric Reinforcement Learning

The goal of this paper is to present a method for simultaneous trajector...

Patrik Kolaric, et al. ∙

research

∙ 01/09/2022

ImageSubject: A Large-scale Dataset for Subject Detection

Main subjects usually exist in the images or videos, as they are the obj...

Xin Miao, et al. ∙

research

∙ 07/26/2020

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

Meta-learning has proven to be a powerful paradigm for transferring the ...

Huaxiu Yao, et al. ∙

research

∙ 07/30/2021

Deep Feature Tracker: A Novel Application for Deep Convolutional Neural Networks

Feature tracking is the building block of many applications such as visu...

Mostafa Parchami, et al. ∙

research

∙ 09/19/2018

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

Deep neural networks have exhibited promising performance in image super...

Yong Guo, et al. ∙

research

∙ 09/07/2019

Transferable Neural Processes for Hyperparameter Optimization

Automated machine learning aims to automate the whole process of machine...

Ying Wei, et al. ∙

research

∙ 11/04/2020

RetroXpert: Decompose Retrosynthesis Prediction like a Chemist

Retrosynthesis is the process of recursively decomposing target molecule...

Chaochao Yan, et al. ∙

research

∙ 12/06/2021

A Survey on Deep learning based Document Image Enhancement

Digitized documents such as scientific articles, tax forms, invoices, co...

Zahra Anvari, et al. ∙

research

∙ 06/27/2019

Adversarial Representation Learning on Large-Scale Bipartite Graphs

Graph representation on large-scale bipartite graphs is central for a va...

Chaoyang He, et al. ∙

research

∙ 08/15/2020

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

Single image de-hazing is a challenging problem, and it is far from solv...

Zahra Anvari, et al. ∙

research

∙ 06/17/2019

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 ...

Nhat Tran, et al. ∙

research

∙ 01/05/2021

Robust CUR Decomposition: Theory and Imaging Applications

This paper considers the use of Robust PCA in a CUR decomposition framew...

HanQin Cai, et al. ∙

research

∙ 09/08/2021

Local Augmentation for Graph Neural Networks

Data augmentation has been widely used in image data and linguistic data...

Songtao Liu, et al. ∙

research

∙ 11/18/2014

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...

Chen Chen, et al. ∙

research

∙ 08/28/2007

Formally Verified Argument Reduction with a Fused-Multiply-Add

Cody & Waite argument reduction technique works perfectly for reasonably...

Sylvie Boldo, et al. ∙

research

∙ 08/16/2017

Cross-lingual Entity Alignment via Joint Attribute-Preserving Embedding

Entity alignment is the task of finding entities in two knowledge bases ...

Zequn Sun, et al. ∙

research

∙ 11/07/2016

Memory-augmented Attention Modelling for Videos

We present a method to improve video description generation by modeling ...

Rasool Fakoor, et al. ∙

research

∙ 05/04/2016

Accelerating Deep Learning with Shrinkage and Recall

Deep Learning is a very powerful machine learning model. Deep Learning t...

Shuai Zheng, et al. ∙

research

∙ 03/30/2016

Enhancing Sentence Relation Modeling with Auxiliary Character-level Embedding

Neural network based approaches for sentence relation modeling automatic...

Peng Li, et al. ∙

research

∙ 03/30/2016

Clinical Information Extraction via Convolutional Neural Network

We report an implementation of a clinical information extraction tool th...

Peng Li, et al. ∙

research

∙ 08/10/2017

Learning Graph While Training: An Evolving Graph Convolutional Neural Network

Convolution Neural Networks on Graphs are important generalization and e...

Ruoyu Li, et al. ∙

research

∙ 04/07/2017

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

The sheer volume and size of histopathological images (e.g.,10^6 MPixel)...

Li Sulimowicz, et al. ∙

research

∙ 02/10/2016

Feature Based Task Recommendation in Crowdsourcing with Implicit Observations

Existing research in crowdsourcing has investigated how to recommend tas...

Habibur Rahman, et al. ∙

research

∙ 03/25/2017

Improving the Accuracy of the CogniLearn System for Cognitive Behavior Assessment

HTKS is a game-like cognitive assessment method, designed for children b...

Amir Ghaderi, et al. ∙

research

∙ 10/14/2016

Kernel Alignment Inspired Linear Discriminant Analysis

Kernel alignment measures the degree of similarity between two kernels. ...

Shuai Zheng, et al. ∙

research

∙ 03/30/2015

Decentralized learning for wireless communications and networking

This chapter deals with decentralized learning algorithms for in-network...

Georgios B. Giannakis, et al. ∙

research

∙ 02/29/2016

Evaluation of Deep Learning based Pose Estimation for Sign Language Recognition

Human body pose estimation and hand detection are two important tasks fo...

Srujana Gattupalli, et al. ∙

research

∙ 11/20/2012

Forest Sparsity for Multi-channel Compressive Sensing

In this paper, we investigate a new compressive sensing model for multi-...

Chen Chen, et al. ∙

research

∙ 11/18/2014

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

In this paper, we propose a novel algorithm for analysis-based sparsity ...

Chen Chen, et al. ∙

research

∙ 10/17/2013

Principal motion components for gesture recognition using a single-example

This paper introduces principal motion components (PMC), a new method fo...

Hugo Jair Escalante, et al. ∙

research

∙ 12/28/2017

Designing Fair Ranking Schemes

Items from a database are often ranked based on a combination of multipl...

Abolfazl Asudehy, et al. ∙

research

∙ 12/09/2017

Uniqueness of Transformation based on Jacobian Determinant and curl-Vector

Numerical examples demonstrated that a prescribed positive Jacobian dete...

Zicong Zhou, et al. ∙

research

∙ 10/01/2017

A Novel Deformation Method for Higher Order Mesh Generation

The development of higher order finite elements methods has become an ac...

Zicong Zhou, et al. ∙

research

∙ 03/16/2017

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

Teleradiology enables medical images to be transferred over the computer...

Ali Sharifara, et al. ∙

research

∙ 01/10/2018

Adaptive Graph Convolutional Neural Networks

Graph Convolutional Neural Networks (Graph CNNs) are generalizations of ...

Ruoyu Li, et al. ∙

research

∙ 02/16/2018

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...

Rasool Fakoor, et al. ∙

research

∙ 02/27/2018

Deep Learning Architectures for Face Recognition in Video Surveillance

Face recognition (FR) systems for video surveillance (VS) applications a...

Saman Bashbaghi, et al. ∙

research

∙ 02/28/2018

RRR: Rank-Regret Representative

We propose the rank-regret representative as a way of choosing a small s...

Abolfazl Asudeh, et al. ∙

research

∙ 04/02/2018

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

Despite the recent success of end-to-end learned representations, hand-c...

Lijie Fan, et al. ∙

research

∙ 04/05/2018

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...

Li Sulimowicz, et al. ∙

research

∙ 04/08/2018

Image Segmentation using Sparse Subset Selection

In this paper, we present a new image segmentation method based on the c...

Fariba Zohrizadeh, et al. ∙

research

∙ 04/13/2018

Regularized Singular Value Decomposition and Application to Recommender System

Singular value decomposition (SVD) is the mathematical basis of principa...

Shuai Zheng, et al. ∙

research

∙ 09/14/2018

Adaptive Sampling Towards Fast Graph Representation Learning

Graph Convolutional Networks (GCNs) have become a crucial tool on learni...

Wenbing Huang, et al. ∙

research

∙ 10/11/2018

Computational Technologies for Brain Morphometry

In this paper, we described a set of computational technologies for imag...

Zicong Zhou, et al. ∙

research

∙ 10/28/2018

Discrimination-aware Channel Pruning for Deep Neural Networks

Channel pruning is one of the predominant approaches for deep model comp...

Zhuangwei Zhuang, et al. ∙

research

∙ 11/21/2018

Multivariate Forecasting of Crude Oil Spot Prices using Neural Networks

Crude oil is a major component in most advanced economies of the world. ...

Ganapathy S. Natarajan, et al. ∙

research

∙ 11/24/2018

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

Generative models using neural network have opened a door to large-scale...

Seong Jae Hwang, et al. ∙

The University of Texas at Arlington

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