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» Learning Structured Models for Phone Recognition
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CVPR
2012
IEEE
11 years 9 months ago
Multi-view latent variable discriminative models for action recognition
Many human action recognition tasks involve data that can be factorized into multiple views such as body postures and hand shapes. These views often interact with each other over ...
Yale Song, Louis-Philippe Morency, Randall Davis
CVPR
2007
IEEE
14 years 8 months ago
Learning the Compositional Nature of Visual Objects
The compositional nature of visual objects significantly limits their representation complexity and renders learning of structured object models tractable. Adopting this modeling ...
Björn Ommer, Joachim M. Buhmann
CVPR
2007
IEEE
14 years 8 months ago
Composite Models of Objects and Scenes for Category Recognition
This paper presents a method of learning and recognizing generic object categories using part-based spatial models. The models are multiscale, with a scene component that specifie...
David J. Crandall, Daniel P. Huttenlocher
ECCV
2006
Springer
14 years 8 months ago
Spatio-temporal Embedding for Statistical Face Recognition from Video
Abstract. This paper addresses the problem of how to learn an appropriate feature representation from video to benefit video-based face recognition. By simultaneously exploiting th...
Wei Liu, Zhifeng Li, Xiaoou Tang
ICML
2005
IEEE
14 years 7 months ago
Predicting protein folds with structural repeats using a chain graph model
Protein fold recognition is a key step towards inferring the tertiary structures from amino-acid sequences. Complex folds such as those consisting of interacting structural repeat...
Yan Liu, Eric P. Xing, Jaime G. Carbonell