5
5.0

Dec 31, 2021
12/21

by
Wei, Gao

texts

#
eye 5

#
favorite 0

#
comment 0

12, 400 pages : 21 cm

Topic: Managing your boss

0
0.0

Jun 29, 2020
06/20

by
Wei, Gao

texts

#
eye 0

#
favorite 0

#
comment 0

352 pages, 8 unnumbered leaves of plates : 21 cm

Topics: Restaurant management -- China, Restaurant management, China

10
10.0

Apr 5, 2021
04/21

by
Wei, Gao

texts

#
eye 10

#
favorite 0

#
comment 0

127
127

Jan 17, 2018
01/18

by
Wei Gao

software

#
eye 127

#
favorite 1

#
comment 0

TETRIS is a famous electric game, maybe you had played it several years ago and got mad about it. Now you have gotten a new version of it which have the network function. You can play it by yourself, with you friends, or even with a totally strange person by Internet. Don’t you think it’s wonderful!

Topics: Windows games, Vintage computer games, Puzzle games

10
10.0

Jun 28, 2018
06/18

by
Wei Gao; Jie Han

texts

#
eye 10

#
favorite 0

#
comment 0

Let $C_6^3$ be the 3-uniform hypergraph on $\{1,\dots, 6\}$ with edges $123, 345,561$, which can be seen as the triangle in 3-uniform hypergraphs. For sufficiently large $n$ divisible by 6, we show that every $n$-vertex 3-uniform hypergraph $H$ with minimum codegree at least $n/3$ contains a $C_6^3$-factor, i.e., a spanning subhypergraph consisting of vertex-disjoint copies of $C_6^3$. The minimum codegree condition is best possible. This improves the asymptotical result obtained by Mycroft and...

Topics: Combinatorics, Mathematics

Source: http://arxiv.org/abs/1508.05152

51
51

Sep 19, 2013
09/13

by
Wei Gao; Zhi-Hua Zhou

texts

#
eye 51

#
favorite 0

#
comment 0

Margin theory provides one of the most popular explanations to the success of \texttt{AdaBoost}, where the central point lies in the recognition that \textit{margin} is the key for characterizing the performance of \texttt{AdaBoost}. This theory has been very influential, e.g., it has been used to argue that \texttt{AdaBoost} usually does not overfit since it tends to enlarge the margin even after the training error reaches zero. Previously the \textit{minimum margin bound} was established for...

Source: http://arxiv.org/abs/1009.3613v5

13
13

Apr 5, 2021
04/21

by
Hai-Tao, Wang; Wei, Gao

texts

#
eye 13

#
favorite 0

#
comment 0

8
8.0

Jun 30, 2018
06/18

by
Wei Gao; Zhi-Hua Zhou

texts

#
eye 8

#
favorite 0

#
comment 0

Great successes of deep neural networks have been witnessed in various real applications. Many algorithmic and implementation techniques have been developed, however, theoretical understanding of many aspects of deep neural networks is far from clear. A particular interesting issue is the usefulness of dropout, which was motivated from the intuition of preventing complex co-adaptation of feature detectors. In this paper, we study the Rademacher complexity of different types of dropout, and our...

Topics: Neural and Evolutionary Computing, Machine Learning, Computing Research Repository, Statistics

Source: http://arxiv.org/abs/1402.3811

3
3.0

Jun 30, 2018
06/18

by
Wei Gao; Wicher Bergsma; Qiwei Yao

texts

#
eye 3

#
favorite 0

#
comment 0

For discrete panel data, the dynamic relationship between successive observations is often of interest. We consider a dynamic probit model for short panel data. A problem with estimating the dynamic parameter of interest is that the model contains a large number of nuisance parameters, one for each individual. Heckman proposed to use maximum likelihood estimation of the dynamic parameter, which, however, does not perform well if the individual effects are large. We suggest new estimators for...

Topics: Mathematics, Statistics, Statistics Theory, Methodology

Source: http://arxiv.org/abs/1409.7776

4
4.0

Jun 29, 2018
06/18

by
Hosam Abdo; Darko Dimitrov; Wei Gao

texts

#
eye 4

#
favorite 0

#
comment 0

Measures of the irregularity of chemical graphs could be helpful for QSAR/QSPR studies and for the descriptive purposes of biological and chemical properties, such as melting and boiling points, toxicity and resistance. Here we consider the following four established irregularity measures: the irregularity index by Albertson, the total irregularity, the variance of vertex degrees and the Collatz-Sinogowitz index. Through the means of graph structural analysis and derivation, we study the...

Topics: Discrete Mathematics, Computing Research Repository

Source: http://arxiv.org/abs/1608.05235

6
6.0

Jun 29, 2018
06/18

by
Wei Gao; Jie Han; Yi Zhao

texts

#
eye 6

#
favorite 0

#
comment 0

Given two $k$-graphs ($k$-uniform hypergraphs) $F$ and $H$, a perfect $F$-tiling (or an $F$-factor) in $H$ is a set of vertex disjoint copies of $F$ that together cover the vertex set of $H$. For all complete $k$-partite $k$-graphs $K$, Mycroft proved a minimum codegree condition that guarantees a $K$-factor in an $n$-vertex $k$-graph, which is tight up to an error term $o(n)$. In this paper we improve the error term in Mycroft's result to a sub-linear term that relates to the Tur\'an number of...

Topics: Combinatorics, Mathematics

Source: http://arxiv.org/abs/1612.07247

10
10.0

Apr 5, 2021
04/21

by
Jiang, Zhao; Wen-Hong, Deng; Wei, Gao

texts

#
eye 10

#
favorite 0

#
comment 0

7
7.0

Jun 29, 2018
06/18

by
Wei Gao; Xin-Yi Niu; Zhi-Hua Zhou

texts

#
eye 7

#
favorite 0

#
comment 0

Nearest neighbor has been one of the simplest and most appealing non-parametric approaches in machine learning, pattern recognition, computer vision, etc. Empirical studies show the resistance of k-nearest neighbor to noise, yet the theoretical understanding is not clear. This work presents the consistency analysis on exact and approximate nearest neighbor in the random noise setting. Our theoretical studies show that k-nearest neighbor, in the noise setting, gets the same consistent rate as...

Topics: Computing Research Repository, Learning

Source: http://arxiv.org/abs/1607.07526

20
20

Jun 29, 2018
06/18

by
Rizhen Qin; Wei Gao; Huarong Xu; Zhanyi Hu

texts

#
eye 20

#
favorite 1

#
comment 0

The human behavior of evaluating other individuals with respect to their personality traits and intelligence by evaluating their faces plays a crucial role in human relations. These trait judgments might influence important social outcomes in our lives such as elections and court sentences. Previous studies have reported that human can make valid inferences for at least four personality traits. In addition, some studies have demonstrated that facial trait evaluation can be learned using machine...

Topics: Computer Vision and Pattern Recognition, Computing Research Repository

Source: http://arxiv.org/abs/1604.07499

5
5.0

Jun 30, 2018
06/18

by
Lech Szymanski; Brendan McCane; Wei Gao; Zhi-Hua Zhou

texts

#
eye 5

#
favorite 0

#
comment 0

Despite being so vital to success of Support Vector Machines, the principle of separating margin maximisation is not used in deep learning. We show that minimisation of margin variance and not maximisation of the margin is more suitable for improving generalisation in deep architectures. We propose the Halfway loss function that minimises the Normalised Margin Variance (NMV) at the output of a deep learning models and evaluate its performance against the Softmax Cross-Entropy loss on the MNIST,...

Topics: Learning, Computing Research Repository

Source: http://arxiv.org/abs/1704.05646

43
43

Sep 23, 2013
09/13

by
On Shun Pak; Wei Gao; Joseph Wang; Eric Lauga

texts

#
eye 43

#
favorite 0

#
comment 0

Micro/nano-scale propulsion has attracted considerable recent attention due to its promise for biomedical applications such as targeted drug delivery. In this paper, we report on a new experimental design and theoretical modelling of high-speed fuel-free magnetically-driven propellers which exploit the flexibility of nanowires for propulsion. These readily prepared nanomotors display both high dimensional propulsion velocities (up to ~ 21 micrometer per second) and dimensionless speeds (in body...

Source: http://arxiv.org/abs/1109.1631v1

74
74

Sep 23, 2013
09/13

by
Wei Gao; Rong Jin; Shenghuo Zhu; Zhi-Hua Zhou

texts

#
eye 74

#
favorite 0

#
comment 0

AUC is an important performance measure and many algorithms have been devoted to AUC optimization, mostly by minimizing a surrogate convex loss on a training data set. In this work, we focus on one-pass AUC optimization that requires only going through the training data once without storing the entire training dataset, where conventional online learning algorithms cannot be applied directly because AUC is measured by a sum of losses defined over pairs of instances from different classes. We...

Source: http://arxiv.org/abs/1305.1363v2

15
15

Jul 22, 2021
07/21

by
Wu-Wei, Gao Wei-Zeng Li Shi-Wen Hou

texts

#
eye 15

#
favorite 0

#
comment 0

26
26

Jul 22, 2021
07/21

by
Chun-Xian, Gu Xiu-Hui Bei Ya-Wei Gao

texts

#
eye 26

#
favorite 0

#
comment 0

4
4.0

Jun 29, 2018
06/18

by
Ming Pang; Wei Gao; Min Tao; Zhi-Hua Zhou

texts

#
eye 4

#
favorite 0

#
comment 0

Recommender system has attracted much attention during the past decade, and many attack detection algorithms have been developed for better recommendation. Most previous approaches focus on the shilling attacks, where the attack organizer fakes a large number of user profiles by the same strategy to promote or demote an item. In this paper, we study a different attack style: unorganized malicious attacks, where attackers respectively use a small number of user profiles to attack their own...

Topics: Information Retrieval, Computing Research Repository, Learning

Source: http://arxiv.org/abs/1610.04086

7
7.0

Jun 30, 2018
06/18

by
Tingsong Xiang; Sundararajan Natarajan; Hou Man; Chongmin Song; Wei Gao

texts

#
eye 7

#
favorite 0

#
comment 0

In this article, we study the free vibration and the mechanical buckling of plates using a three dimensional consistent approach based on the scaled boundary finite element method. The in-plane dimensions of the plate are modeled by two-dimensional higher order spectral element. The solution through the thickness is expressed analytically with Pade expansion. The stiffness matrix is derived directly from the three dimensional solutions and by employing the spectral element, a diagonal mass...

Topics: Mathematics, Numerical Analysis

Source: http://arxiv.org/abs/1407.7173

67
67

Sep 21, 2013
09/13

by
Wei Gao; Ping Shing Chan; Hon Keung Tony Ng; Xiaolei Lu

texts

#
eye 67

#
favorite 0

#
comment 0

In this article, we discuss the optimal allocation problem in an experiment when a regression model is used for statistical analysis. Monotonic convergence for a general class of multiplicative algorithms for $D$-optimality has been discussed in the literature. Here, we provide an alternate proof of the monotonic convergence for $D$-criterion with a simple computational algorithm and furthermore show it converges to the $D$-optimality. We also discuss an algorithm as well as a conjecture of the...

Source: http://arxiv.org/abs/1301.0877v2

6
6.0

Jun 28, 2018
06/18

by
Ashwin Nanjappa; Li Cheng; Wei Gao; Chi Xu; Adam Claridge-Chang; Zoe Bichler

texts

#
eye 6

#
favorite 0

#
comment 0

We focus on the challenging problem of efficient mouse 3D pose estimation based on static images, and especially single depth images. We introduce an approach to discriminatively train the split nodes of trees in random forest to improve their performance on estimation of 3D joint positions of mouse. Our algorithm is capable of working with different types of rodents and with different types of depth cameras and imaging setups. In particular, it is demonstrated in this paper that when a...

Topics: Computing Research Repository, Computer Vision and Pattern Recognition

Source: http://arxiv.org/abs/1511.07611

7
7.0

Jun 29, 2018
06/18

by
Shaohui Wang; Wei Gao; Muhammad K. Jamil; Mohammad R. Farahani; Jia-Bao Liu

texts

#
eye 7

#
favorite 0

#
comment 0

The hyper Zagreb index is a kind of extensions of Zagreb index, used for predicting physicochemical properties of organic compounds. Given a graph $G= (V(G), E(G))$, the first hyper-Zagreb index is the sum of the square of edge degree over edge set $E(G)$ and defined as $HM_1(G)=\sum_{e=uv\in E(G)}d(e)^2$, where $d(e)=d(u)+d(v)$ is the edge degree. In this work we define the second hyper-Zagreb index on the adjacent edges as $HM_2(G)=\sum_{e\sim f}d(e)d(f)$, where $e\sim f$ represents the...

Topics: Combinatorics, Mathematics

Source: http://arxiv.org/abs/1612.02361

129
129

Oct 21, 2014
10/14

by
Wei, Gao-Xia; Dong, Hao-Ming; Yang, Zhi; Luo, Jing; Zuo, Xi-Nian

texts

#
eye 129

#
favorite 3

#
comment 0

This article is from Frontiers in Aging Neuroscience , volume 6 . Abstract Whether Tai Chi Chuan (TCC) can influence the intrinsic functional architecture of the human brain remains unclear. To examine TCC-associated changes in functional connectomes, resting-state functional magnetic resonance images were acquired from 40 older individuals including 22 experienced TCC practitioners (experts) and 18 demographically matched TCC-naïve healthy controls, and their local functional homogeneities...

Source: http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4029006

59
59

Oct 21, 2014
10/14

by
Li, Lin; Men, Wei-Wei; Chang, Yu-Kai; Fan, Ming-Xia; Ji, Liu; Wei, Gao-Xia

texts

#
eye 59

#
favorite 0

#
comment 0

This article is from PLoS ONE , volume 9 . Abstract There is increasing evidence that acute aerobic exercise is associated with improved cognitive function. However, neural correlates of its cognitive plasticity remain largely unknown. The present study examined the effect of a session of acute aerobic exercise on working memory task-evoked brain activity as well as task performance. A within-subjects design with a counterbalanced order was employed. Fifteen young female participants...

Source: http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4050105

18
18

Jun 28, 2018
06/18

by
Ghodratollah Aalipour; Aida Abiad; Zhanar Berikkyzy; Jay Cummings; Jessica De Silva; Wei Gao; Kristin Heysse; Leslie Hogben; Franklin H. J. Kenter; Jephian C. -H. Lin; Michael Tait

texts

#
eye 18

#
favorite 0

#
comment 0

The distance matrix of a graph $G$ is the matrix containing the pairwise distances between vertices. The distance eigenvalues of $G$ are the eigenvalues of its distance matrix and they form the distance spectrum of $G$. We determine the distance spectra of halved cubes, double odd graphs, and Doob graphs, completing the determination of distance spectra of distance regular graphs having exactly one positive distance eigenvalue. We characterize strongly regular graphs having more positive than...

Topics: Combinatorics, Mathematics

Source: http://arxiv.org/abs/1509.01196

5
5.0

Jun 29, 2018
06/18

by
Jun Gao; Lu-Feng Qiao; Xiao-Feng Lin; Zhi-Qiang Jiao; Zhen Feng; Zheng Zhou; Zhen-Wei Gao; Xiao-Yun Xu; Yuan Chen; Hao Tang; Xian-Min Jin

texts

#
eye 5

#
favorite 0

#
comment 0

Quantum interference and quantum correlation, as two main features of quantum optics, play an essential role in quantum information applications, such as multi-particle quantum walk and boson sampling. While many experimental demonstrations have been done in one-dimensional waveguide arrays, it remains unexplored in higher dimensions due to tight requirement of manipulating and detecting photons in large-scale. Here, we experimentally observe non-classical correlation of two identical photons...

Topics: Quantum Physics, Optics, Physics

Source: http://arxiv.org/abs/1606.05637

This paper presents a set of attacks against SCADA control systems. The attacks are grouped into 4 classes; reconnaissance, response and measurement injection, command injection and denial of service. The 4 classes are defined and each attack is described in detail. The response and measurement injection and command injection classes are subdivided into sub-classes based on attack complexity. Each attack described in this paper has been exercised against industrial control systems in a...

4
4.0

Jun 29, 2018
06/18

by
Wei Gao; Peng Xu; Xing Bian; Zhoujian Cao; Zijing Chang; Peng Dong; Xuefei Gong; Shuanglin Huang; Peng Ju; Li'e Qiang; Wenlin Tang; Xiaoyun Wan; Yue Wang; Shengnian Xu; Yunlong Zang; Haipeng Zhang; Yun-Kau Lau

texts

#
eye 4

#
favorite 0

#
comment 0

Part of a review paper entitled "Gravitational wave astronomy: the current status.", appeared in " Science China Physics, Mechanics & Astronomy 58.12 (2015): 1-41.

Topics: Astrophysics, Instrumentation and Methods for Astrophysics, General Relativity and Quantum Cosmology

Source: http://arxiv.org/abs/1601.07050

7
7.0

Jun 30, 2018
06/18

by
Xuefei Gong; Yun-Kau Lau; Shengnian Xu; Pau Amaro-Seoane; Shan Bai; Xing Bian; Zhoujian Cao; Gerui Chen; Xian Chen; Yanwei Ding; Peng Dong; Wei Gao; Gerhard Heinzel; Ming Li; Shuo Li; Fukun Liu; Ziren Luo; Mingxue Shao; Rainer Spurzem; Baosan Sun; Wenlin Tang; Yan Wang; Peng Xu; Pin Yu; Yefei Yuan; Xiaomin Zhang; Zebing Zhou

texts

#
eye 7

#
favorite 0

#
comment 0

The present work reports on a feasibility study commissioned by the Chinese Academy of Sciences of China to explore various possible mission options to detect gravitational waves in space alternative to that of the eLISA/LISA mission concept. Based on the relative merits assigned to science and technological viability, a few representative mission options descoped from the ALIA mission are considered. A semi-analytic Monte Carlo simulation is carried out to understand the cosmic black hole...

Topics: Instrumentation and Methods for Astrophysics, High Energy Astrophysical Phenomena, Astrophysics,...

Source: http://arxiv.org/abs/1410.7296