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CVPR
2012
IEEE
13 years 10 days ago
2012
IEEE
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...
ECCV
2002
Springer
15 years 11 months ago
2002
Springer
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...
KDD
2009
ACM
15 years 10 months ago
2009
ACM
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...
PERCOM
2006
ACM
15 years 9 months ago
2006
ACM
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...
GECCO
2007
Springer
15 years 4 months ago
2007
Springer
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...