University of South Carolina

research

∙ 10/07/2021

Pretrained Language Models are Symbolic Mathematics Solvers too!

Solving symbolic mathematics has always been of in the arena of human in...

Kimia Noorbakhsh, et al. ∙

research

∙ 04/22/2021

DANNet: A One-Stage Domain Adaptation Network for Unsupervised Nighttime Semantic Segmentation

Semantic segmentation of nighttime images plays an equally important rol...

Xinyi Wu, et al. ∙

research

∙ 12/01/2019

Knowledge Infused Learning (K-IL): Towards Deep Incorporation of Knowledge in Deep Learning

Learning the underlying patterns in the data goes beyond instance-based ...

Ugur Kursuncu, et al. ∙

research

∙ 02/29/2020

An Evaluation of Knowledge Graph Embeddings for Autonomous Driving Data: Experience and Practice

The autonomous driving (AD) industry is exploring the use of knowledge g...

Ruwan Wickramarachchi, et al. ∙

research

∙ 01/01/2020

Erase and Restore: Simple, Accurate and Resilient Detection of L_2 Adversarial Examples

By adding carefully crafted perturbations to input images, adversarial e...

Fei Zuo, et al. ∙

research

∙ 10/04/2021

Deep Learning Approach Protecting Privacy in Camera-Based Critical Applications

Many critical applications rely on cameras to capture video footage for ...

Gautham Ramajayam, et al. ∙

research

∙ 03/11/2020

DeepURL: Deep Pose Estimation Framework for Underwater Relative Localization

In this paper, we propose a real-time deep-learning approach for determi...

Bharat Joshi, et al. ∙

research

∙ 04/29/2021

Nonlinear Level Set Learning for Function Approximation on Sparse Data with Applications to Parametric Differential Equations

A dimension reduction method based on the "Nonlinear Level set Learning"...

Anthony Gruber, et al. ∙

research

∙ 10/05/2021

A Comparison of Neural Network Architectures for Data-Driven Reduced-Order Modeling

The popularity of deep convolutional autoencoders (CAEs) has engendered ...

Anthony Gruber, et al. ∙

research

∙ 08/21/2019

Effects of Blur and Deblurring to Visual Object Tracking

Intuitively, motion blur may hurt the performance of visual object track...

Qing Guo, et al. ∙

research

∙ 09/09/2021

Mapping Research Topics in Software Testing: A Bibliometric Analysis

In this study, we apply co-word analysis - a text mining technique based...

Alireza Salahirad, et al. ∙

research

∙ 11/22/2021

ATLANTIS: A Benchmark for Semantic Segmentation of Waterbody Images

Vision-based semantic segmentation of waterbodies and nearby related obj...

Seyed Mohammad Hassan Erfani, et al. ∙

research

∙ 03/24/2020

Modeling Cross-view Interaction Consistency for Paired Egocentric Interaction Recognition

With the development of Augmented Reality (AR), egocentric action recogn...

Zhongguo Li, et al. ∙

research

∙ 01/18/2022

Combining Fast and Slow Thinking for Human-like and Efficient Navigation in Constrained Environments

Current AI systems lack several important human capabilities, such as ad...

Marianna B. Ganapini, et al. ∙

research

∙ 03/07/2018

A Deep Learning Algorithm for One-step Contour Aware Nuclei Segmentation of Histopathological Images

This paper addresses the task of nuclei segmentation in high-resolution ...

Yuxin Cui, et al. ∙

research

∙ 07/02/2019

Conservative Q-Improvement: Reinforcement Learning for an Interpretable Decision-Tree Policy

There is a growing desire in the field of reinforcement learning (and ma...

Aaron M. Roth, et al. ∙

research

∙ 11/07/2017

Curve-Structure Segmentation from Depth Maps: A CNN-based Approach and Its Application to Exploring Cultural Heritage Objects

Motivated by the important archaeological application of exploring cultu...

Yuhang Lu, et al. ∙

research

∙ 09/22/2017

Characterizing Diabetes, Diet, Exercise, and Obesity Comments on Twitter

Social media provide a platform for users to express their opinions and ...

Amir Karami, et al. ∙

research

∙ 03/16/2015

A Memcomputing Pascaline

The original Pascaline was a mechanical calculator able to sum and subtr...

Y. V. Pershin, et al. ∙

research

∙ 12/23/2017

An Approximate Bayesian Long Short-Term Memory Algorithm for Outlier Detection

Long Short-Term Memory networks trained with gradient descent and back-p...

Chao Chen, et al. ∙

research

∙ 10/31/2016

Robust Gait Recognition by Integrating Inertial and RGBD Sensors

Gait has been considered as a promising and unique biometric for person ...

Qin Zou, et al. ∙

research

∙ 12/22/2015

Facility Deployment Decisions through Warp Optimizaton of Regressed Gaussian Processes

A method for quickly determining deployment schedules that meet a given ...

Anthony Scopatz, et al. ∙

research

∙ 08/05/2016

Identifying Designs from Incomplete, Fragmented Cultural Heritage Objects by Curve-Pattern Matching

Study of cultural-heritage objects with embellished realistic and abstra...

Jun Zhou, et al. ∙

research

∙ 03/12/2015

Functional Inverse Regression in an Enlarged Dimension Reduction Space

We consider an enlarged dimension reduction space in functional inverse ...

Ting-Li Chen, et al. ∙

research

∙ 01/01/2014

Convex optimization on Banach Spaces

Greedy algorithms which use only function evaluations are applied to con...

R. A. DeVore, et al. ∙

research

∙ 09/05/2015

Unsupervised Cross-Domain Recognition by Identifying Compact Joint Subspaces

This paper introduces a new method to solve the cross-domain recognition...

Yuewei Lin, et al. ∙

research

∙ 07/11/2015

LooseCut: Interactive Image Segmentation with Loosely Bounded Boxes

One popular approach to interactively segment the foreground object of i...

Hongkai Yu, et al. ∙

research

∙ 04/27/2015

Combining Local Appearance and Holistic View: Dual-Source Deep Neural Networks for Human Pose Estimation

We propose a new learning-based method for estimating 2D human pose from...

Xiaochuan Fan, et al. ∙

research

∙ 01/28/2015

Feature Sampling Strategies for Action Recognition

Although dense local spatial-temporal features with bag-of-features repr...

Youjie Zhou, et al. ∙

research

∙ 05/18/2012

Two New Algorithms for Solving Covariance Graphical Lasso Based on Coordinate Descent and ECM

Covariance graphical lasso applies a lasso penalty on the elements of th...

Hao Wang, et al. ∙

research

∙ 09/26/1998

Learning Nested Agent Models in an Information Economy

We present our approach to the problem of how an agent, within an econom...

Jose M. Vidal, et al. ∙

research

∙ 12/28/2017

Nonlinear quantile mixed models

In regression applications, the presence of nonlinearity and correlation...

Marco Geraci, et al. ∙

research

∙ 12/19/2017

Mixed-effects models using the normal and the Laplace distributions: A 2 × 2 convolution scheme for applied research

In statistical applications, the normal and the Laplace distributions ar...

Marco Geraci, et al. ∙

research

∙ 09/23/2017

Analogies between the crossing number and the tangle crossing number

Tanglegrams are special graphs that consist of a pair of rooted binary t...

Robin Anderson, et al. ∙

research

∙ 01/02/2018

Cautionary note on "Semiparametric modeling of grouped current duration data with preferential reporting'"

This report is designed to clarify a few points about the article "Semip...

Alexander C. McLain, et al. ∙

research

∙ 01/18/2018

How can social planners prevent disappointment in an election?

Mechanism design is concerned with settings where a policy maker (or soc...

Rasoul Ramezanian, et al. ∙

research

∙ 01/30/2018

Analysis of Motion Planning by Sampling in Subspaces of Progressively Increasing Dimension

Despite the performance advantages of modern sampling-based motion plann...

Marios P. Xanthidis, et al. ∙

research

∙ 02/12/2018

Object Detection with Mask-based Feature Encoding

Region-based Convolutional Neural Networks (R-CNNs) have achieved great ...

Xiaochuan Fan, et al. ∙

research

∙ 03/09/2018

The evolution of the global Markov property for multivariate regression graphs: differences and conflicts

Depending on the interpretation of the type of edges, a chain graph can ...

Mohammad ali Javidian, et al. ∙

research

∙ 03/10/2018

Dynamically Efficient Kinematics for Hyper-Redundant Manipulators

A hyper-redundant robotic arm is a manipulator with many degrees of free...

Marios P. Xanthidis, et al. ∙

research

∙ 03/14/2018

Additive quantile regression for clustered data with an application to children's physical activity

Additive models are flexible regression tools that handle linear as well...

Marco Geraci, et al. ∙

research

∙ 03/18/2018

A Machine Learning Approach for Power Allocation in HetNets Considering QoS

There is an increase in usage of smaller cells or femtocells to improve ...

Roohollah Amiri, et al. ∙

research

∙ 03/09/2018

The evolution of multivariate regression chain graphs

Depending on the interpretation of the type of edges, a chain graph can ...

Mohammad ali Javidian, et al. ∙

research

∙ 03/27/2018

Reconfigurable Antenna Multiple Access for 5G mmWave Systems

This paper aims to realize a new multiple access technique based on rece...

Mojtaba Ahmadi Almasi, et al. ∙

research

∙ 03/09/2018

On the Properties of MVR Chain Graphs

Depending on the interpretation of the type of edges, a chain graph can ...

Mohammad ali Javidian, et al. ∙

research

∙ 05/25/2018

Unsupervised Learning for Large-Scale Fiber Detection and Tracking in Microscopic Material Images

Constructing 3D structures from serial section data is a long standing p...

Hongkai Yu, et al. ∙

research

∙ 06/13/2018

Robot Design: Formalisms, Representations, and the Role of the Designer

The objective of this paper is to distill the following essential idea f...

Alexandra Q. Nilles, et al. ∙

research

∙ 06/19/2018

Letter to the Editor

Galarza, Lachos and Bandyopadhyay (2017) have recently proposed a method...

Marco Geraci, et al. ∙

research

∙ 06/26/2018

Computational Analysis of Insurance Complaints: GEICO Case Study

The online environment has provided a great opportunity for insurance po...

Amir Karami, et al. ∙

research

∙ 06/25/2018

A Proof of the Front-Door Adjustment Formula

We provide a proof of the the Front-Door adjustment formula using the do...

Mohammad ali Javidian, et al. ∙

University of South Carolina

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