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CVPR
2008
IEEE
14 years 9 months ago
Sparse probabilistic regression for activity-independent human pose inference
Discriminative approaches to human pose inference involve mapping visual observations to articulated body configurations. Current probabilistic approaches to learn this mapping ha...
Raquel Urtasun, Trevor Darrell
ICDM
2010
IEEE
178views Data Mining» more  ICDM 2010»
13 years 5 months ago
Exploiting Unlabeled Data to Enhance Ensemble Diversity
Ensemble learning aims to improve generalization ability by using multiple base learners. It is well-known that to construct a good ensemble, the base learners should be accurate a...
Min-Ling Zhang, Zhi-Hua Zhou
APIN
2004
116views more  APIN 2004»
13 years 7 months ago
Neural Learning from Unbalanced Data
This paper describes the result of our study on neural learning to solve the classification problems in which data is unbalanced and noisy. We conducted the study on three differen...
Yi Lu Murphey, Hong Guo, Lee A. Feldkamp
TACAS
2009
Springer
132views Algorithms» more  TACAS 2009»
14 years 2 months ago
Transition-Based Directed Model Checking
Abstract. Directed model checking is a well-established technique that is tailored to fast detection of system states that violate a given safety property. This is achieved by inï¬...
Martin Wehrle, Sebastian Kupferschmid, Andreas Pod...
TASLP
2008
120views more  TASLP 2008»
13 years 7 months ago
Rapid Speaker Adaptation Using Clustered Maximum-Likelihood Linear Basis With Sparse Training Data
Abstract-- Speaker space based adaptation methods for automatic speech recognition have been shown to provide significant performance improvements for tasks where only a few second...
Yun Tang, Richard Rose