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CVPR
2012
IEEE
13 years 5 months ago
Non-negative low rank and sparse graph for semi-supervised learning
Constructing a good graph to represent data structures is critical for many important machine learning tasks such as clustering and classification. This paper proposes a novel no...
Liansheng Zhuang, Haoyuan Gao, Zhouchen Lin, Yi Ma...
127
Voted
ECCV
2002
Springer
16 years 4 months ago
A Markov Chain Monte Carlo Approach to Stereovision
We propose Markov chain Monte Carlo sampling methods to address uncertainty estimation in disparity computation. We consider this problem at a postprocessing stage, i.e. once the d...
Julien Sénégas
114
Voted
KDD
2009
ACM
180views Data Mining» more  KDD 2009»
16 years 3 months ago
Consensus group stable feature selection
Stability is an important yet under-addressed issue in feature selection from high-dimensional and small sample data. In this paper, we show that stability of feature selection ha...
Steven Loscalzo, Lei Yu, Chris H. Q. Ding
99
Voted
PERCOM
2006
ACM
16 years 2 months ago
Enabling Energy-Efficient and Quality Localization Services
Recent localization research has focused on improving the accuracy of pinpointing the physical location of a target. We think that the energy efficiency and the quality of the loc...
Tsung-Han Lin, Polly Huang, Hao-Hua Chu, Hsing-Hau...
123
Voted
GECCO
2007
Springer
177views Optimization» more  GECCO 2007»
15 years 8 months ago
On the behavioral diversity of random programs
Generating a random sampling of program trees with specified function and terminal sets is the initial step of many program evolution systems. I present a theoretical and experim...
Moshe Looks