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193
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AMDO
2006
Springer
15 years 10 months ago
2006
Springer
Abstract. We propose motion manifold learning and motion primitive segmentation framework for human motion synthesis from motion-captured data. High dimensional motion capture date...
186
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ACCV
2010
Springer
15 years 1 months ago
2010
Springer
Abstract. We present a novel approach to detect and classify rare behaviours which are visually subtle and occur sparsely in the presence of overwhelming typical behaviours. We tre...
137
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ICML
2009
IEEE
16 years 7 months ago
2009
IEEE
We propose an unbounded-depth, hierarchical, Bayesian nonparametric model for discrete sequence data. This model can be estimated from a single training sequence, yet shares stati...
171
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ICIAP
2005
ACM
16 years 6 months ago
2005
ACM
In this paper, we propose a novel method which involves neural adaptive techniques for identifying salient features and for classifying high dimensionality data. In particular a ne...
153
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BIBM
2007
IEEE
16 years 16 days ago
2007
IEEE
Discovering human disease-causing genes (disease genes in short) is one of the most challenging problems in bioinformatics and biomedicine, as most diseases are related in some wa...