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Sep 21, 2017

The $D\bar{D}^*$ interaction with isospin zero in an extended hidden …

The $D \bar{D}^*$ interaction via a $\rho$ or $\omega$ exchange is constructed within an extended hidden gauge symmetry approach, where the strange q…
Oct 25, 2018
Strongly Correlated Electrons
Mesoscale and Nanoscale Physics

Ultrafast hot carrier dynamics of ZrTe$_5$ from time-resolved optical…

We investigate the hot carrier dynamics of ZrTe$_5$ by ultrafast time-resolved optical reflectivity. Our results reveal a phonon-mediated across-gap …
Dec 17, 2014
Materials Science
Mesoscale and Nanoscale Physics

First-principles study of the stability of free-standing germanene in…

The O2 dissociation and O atoms adsorption on free-standing germanene are studied by using first-principles calculations in this letter. Compared wit…
Jan 09, 2016
Computer Vision

Kernelized LRR on Grassmann Manifolds for Subspace Clustering

Low rank representation (LRR) has recently attracted great interest due to its pleasing efficacy in exploring low-dimensional sub- space structures e…
Nov 22, 2018
Computer Vision

Dual Reweighted Lp-Norm Minimization for Salt-and-pepper Noise Removal

The robust principle analysis (RPCA), which aims to estimate underlying low rank and sparse structures from the degraded observation data, has a wide…
Apr 08, 2015
Computer Vision

Kernelized Low Rank Representation on Grassmann Manifolds

Low rank representation (LRR) has recently attracted great interest due to its pleasing efficacy in exploring low-dimensional subspace structures emb…
May 17, 2017
Computer Vision

Localized LRR on Grassmann Manifolds: An Extrinsic View

Subspace data representation has recently become a common practice in many computer vision tasks. It demands generalizing classical machine learning …
Apr 04, 2014
Distributed
Parallel
and Cluster Computing

A Task Allocation Schema Based on Response Time Optimization in Cloud…

Cloud computing is a newly emerging distributed computing which is evolved from Grid computing. Task scheduling is the core research of cloud computi…
Jan 10, 2019

The pseudoscalar meson and baryon octet interaction with strangeness …

The interaction of the pseudoscalar meson and the baryon octet is investigated by solving the Bethe-Salpeter equation in the unitary coupled-channel …
Jan 21, 2016
Computer Vision

Partial Sum Minimization of Singular Values Representation on Grassma…

As a significant subspace clustering method, low rank representation (LRR) has attracted great attention in recent years. To further improve the perf…
May 18, 2019
Networking and Internet Architecture
Signal Processing

Aeronautical Ad Hoc Networking for the Internet-Above-The-Clouds

The engineering vision of relying on the ``smart sky" for supporting air traffic and the ``Internet above the clouds" for in-flight entertainment has…
Aug 25, 2018

The $K\bar{K}^*$ interaction in the unitary coupled-channel approxi…

The $K\bar{K}^*$ interaction Lagrangian is constructed when the $SU(3)$ hidden gauge symmetry is taken into account, and then the $K\bar{K}^*$ potent…
Dec 07, 2015
Numerical Analysis
Computer Vision
Machine Learning

Fast Optimization Algorithm on Riemannian Manifolds and Its Applicati…

The paper addresses the problem of optimizing a class of composite functions on Riemannian manifolds and a new first order optimization algorithm (FO…
Dec 20, 2017
Computer Science and Game Theory

Selfishness need not be bad

This article studies the user selfish behavior in non-atomic congestion games (NCG). We prove that the price of anarchy of general NCGs tends to 1 as…
Jan 10, 2020
Machine Learning

Probabilistic K-means Clustering via Nonlinear Programming

K-means is a classical clustering algorithm with wide applications. However, soft K-means, or fuzzy c-means at m=1, remains unsolved since 1981. To a…
Nov 23, 2019
Machine Learning
Multimedia

Kernelized Multiview Subspace Analysis by Self-weighted Learning

With the popularity of multimedia technology, information is always represented or transmitted from multiple views. Most of the existing algorithms a…
Nov 27, 2020
Machine Learning
Optimization and Control

Eigenvalue-corrected Natural Gradient Based on a New Approximation

Using second-order optimization methods for training deep neural networks (DNNs) has attracted many researchers. A recently proposed method, Eigenval…
Apr 08, 2015
Computer Vision

Heterogeneous Tensor Decomposition for Clustering via Manifold Opti…

Tensors or multiarray data are generalizations of matrices. Tensor clustering has become a very important research topic due to the intrinsically ric…
Nov 12, 2016
Networking and Internet Architecture

Machine to Machine (M2M) Communications in Virtualized Vehicular Ad H…

With the growing interest in the use of internet of things (IoT), machine-to-machine (M2M) communications have become an important networking paradig…
Apr 08, 2019
Optimization and Control
Analysis of PDEs

Bilateral Boundary Control of Moving Shockwave in LWR Model of Conges…

We develop backstepping state feedback control to stabilize a moving shockwave in a freeway segment under bilateral boundary actuations of traffic fl…
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