8 citations · 33 across the 15 of their papers we have counts for
15 papers
Low-Rank Matrix Recovery from Noise via an MDL Framework-based Atomic Norm
Anyong Qin, Lina Xian, Yongliang Yang +2
The recovery of the underlying low-rank structure of clean data corrupted with sparse noise/outliers is attracting increasing interest. However, in many low-level vision problems,…
Learning a Deep Part-based Representation by Preserving Data Distribution
Anyong Qin, Zhaowei Shang, Zhuolin Tan +2
Unsupervised dimensionality reduction is one of the commonly used techniques in the field of high dimensional data recognition problems. The deep autoencoder network which constrai…
Simultaneous Spectral-Spatial Feature Selection and Extraction for Hyperspectral Images
Lefei Zhang, Qian Zhang, Bo Du +3
In hyperspectral remote sensing data mining, it is important to take into account of both spectral and spatial information, such as the spectral signature, texture feature and morp…
Bayes Imbalance Impact Index: A Measure of Class Imbalanced Dataset for Classification Problem
Yang Lu, Yiu-ming Cheung, Yuan Yan Tang
Recent studies have shown that imbalance ratio is not the only cause of the performance loss of a classifier in imbalanced data classification. In fact, other data factors, such as…
Constrained Manifold Learning for Hyperspectral Imagery Visualization
Danping Liao, Yuntao Qian, Yuan Yan Tang
Displaying the large number of bands in a hyper- spectral image (HSI) on a trichromatic monitor is important for HSI processing and analysis system. The visualized image shall conv…
Modal Regression based Atomic Representation for Robust Face Recognition
Yulong Wang, Yuan Yan Tang, Luoqing Li +1
Representation based classification (RC) methods such as sparse RC (SRC) have shown great potential in face recognition in recent years. Most previous RC methods are based on the c…
Defend against advanced persistent threats: An optimal control approach
Pengdeng Li, Lu-Xing Yang, Xiaofan Yang +3
The new cyber attack pattern of advanced persistent threat (APT) has posed a serious threat to modern society. This paper addresses the APT defense problem, i.e., the problem of ho…
Security evaluation of cyber networks under advanced persistent threats
Lu-Xing Yang, Pengdeng Li, Xiaofan Yang +3
This paper is devoted to measuring the security of cyber networks under advanced persistent threats (APTs). First, an APT-based cyber attack-defense process is modeled as an indivi…
Assessing the risk of advanced persistent threats
Xiaofan Yang, Tianrui Zhang, Lu-Xing Yang +2
As a new type of cyber attacks, advanced persistent threats (APTs) pose a severe threat to modern society. This paper focuses on the assessment of the risk of APTs. Based on a dyna…
The damage inflicted by a computer virus: A new estimation method
Jichao Bi, Lu-Xing Yang, Xiaofan Yang +2
This paper addressed the issue of estimating the damage caused by a computer virus. First, an individual-level delayed SIR model capturing the spreading process of a digital virus…
On the effectiveness of the truth-spreading/rumor-blocking strategy for restraining rumors
Lu-Xing Yang, Tianrui Zhang, Xiaofan Yang +2
Spreading truths and blocking rumors are two typical strategies for inhibiting rumors. In practice, a tradeoff between the two strategies, which is known as the TSRB strategy, may…
Analysis of the effectiveness of the truth-spreading strategy for inhibiting rumors
Lu-Xing Yang, Pengdeng Li, Xiaofan Yang +2
Spreading truths is recognized as a feasible strategy for inhibiting rumors. This paper is devoted to assessing the effectiveness of the truth-spreading strategy. An individual-lev…
Distributed interaction between computer virus and patch: A modeling study
Lu-Xing Yang, Xiaofan Yang, Qingyi Zhu +1
The decentralized patch distribution mechanism holds significant promise as an alternative to its centralized counterpart. For the purpose of accurately evaluating the performance…
Unsupervised Cross-Domain Recognition by Identifying Compact Joint Subspaces
Yuewei Lin, Jing Chen, Yu Cao +4
This paper introduces a new method to solve the cross-domain recognition problem. Different from the traditional domain adaption methods which rely on a global domain shift for all…
Multiview Hessian Discriminative Sparse Coding for Image Annotation
Weifeng Liu, Dacheng Tao, Jun Cheng +1
Sparse coding represents a signal sparsely by using an overcomplete dictionary, and obtains promising performance in practical computer vision applications, especially for signal r…