In the past decades, exactly recovering the intrinsic data structure from corrupted observations, which is known as robust principal component analys…

Blind image deblurring algorithms have been improving steadily in the past years. Most state-of-the-art algorithms, however, still cannot perform per…

In this paper we propose an effective non-rigid object tracking method based on spatial-temporal consistent saliency detection. In contrast to most e…

Reproducibility is the ability of recreating identical binaries under pre-defined build environments. Due to the need of quality assurance and the be…

Within the same failure mode, iron has the lowest ideal tensile strength among the transition metals crystallizing in the body-centered cubic structu…

We study the photon statistics properties of few-photon transport in an optomechanical system where an optomechanical cavity couples to two empty cav…

Deep convolutional neural networks (CNNs) have delivered superior performance in many computer vision tasks. In this paper, we propose a novel deep f…

Traditional face alignment based on machine learning usually tracks the localizations of facial landmarks employing a static model trained offline wh…

Saliency detection, finding the most important parts of an image, has become increasingly popular in computer vision. In this paper, we introduce Hie…

Based on the mean-field approximation and the phase space analysis, we discuss the dynamics of Bose-Einstein condensates in a double-well potential. …

In this paper, a decay vacuum model $\bar{\rho}_\Lambda=3\sigma M_p^2H_0 H$ is revisited by detailed analysis of background evolution and perturbatio…

We calculate the forward backward asymmetry of the top-pair production at TEVATRON up to next to leading order (NLO) in the little Higgs model (LHM).…

In this paper, a new analytic method with a convergence-control parameter $c$ is first proposed. The parameter $c$ is used to adjust and control the …

Meirowitz [17] showed existence of continuous behavioural function equilibria for Bayesian games with non-finite type and action spaces. A key condit…

A self-consistent model which can unify Starobinsky's inflation and $\Lambda$CDM model in the framework of Poincar\'e gauge cosmology (PGC) is studied in this work, without extra inflationary fields and `dark energy'. We study the general nine-param…

A self-consistent model which can unify Starobinsky's inflation and $\Lambda$CDM model in the framework of Poincar\'e gauge cosmology (PGC) is studie…

The (Strong) Slope Conjecture relates the degree of the colored Jones polynomial of a knot to certain essential surfaces in the knot complement. We v…

The integrated Sachs-Wolfe (ISW) effect is an important implication for dark energy. In this paper, we have calculated the power spectrum of the ISW …

We use the Markov Chain Monte Carlo method to investigate a global constraints on the modified Chaplygin gas (MCG) model as the unification of dark m…

A definition of quantum correlation is presented for an arbitrary bipartite quantum state based on the skew information. This definition not only inh…

We examine the characteristic quantities of pion-emitting sources extracted by model-independent imaging analysis in relativistic heavy ion collision…

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