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SIGKDD
2010
151views more  SIGKDD 2010»
13 years 2 months ago
Limitations of matrix completion via trace norm minimization
In recent years, compressive sensing attracts intensive attentions in the field of statistics, automatic control, data mining and machine learning. It assumes the sparsity of the ...
Xiaoxiao Shi, Philip S. Yu
TEC
2010
120views more  TEC 2010»
13 years 2 months ago
Benefits of a Population: Five Mechanisms That Advantage Population-Based Algorithms
This paper identifies five distinct mechanisms by which a population-based algorithm might have an advantage over a solo-search algorithm in classical optimization. These mechanism...
Adam Prügel-Bennett
ICASSP
2011
IEEE
12 years 11 months ago
Single-frame-based rain removal via image decomposition
Rain removal from a video is a challenging problem and has been recently investigated extensively. Nevertheless, the problem of rain removal from a single image has been rarely st...
Yu-Hsiang Fu, Li-Wei Kang, Chia-Wen Lin, Chiou-Tin...
CVPR
2010
IEEE
12 years 4 months ago
Abrupt motion tracking via adaptive stochastic approximation Monte Carlo sampling
Robust tracking of abrupt motion is a challenging task in computer vision due to the large motion uncertainty. In this paper, we propose a stochastic approximation Monte Carlo (...
Xiuzhuang Zhou and Yao Lu
ICIP
2003
IEEE
14 years 9 months ago
Feature selection for unsupervised discovery of statistical temporal structures in video
We present algorithms for automatic feature selection for unsupervised structure discovery from video sequences. Feature selection in this scenario is hard because of the absence ...
Lexing Xie, Shih-Fu Chang, Ajay Divakaran, Huifang...