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» A Bayesian Approach to Semi-Supervised Learning
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156
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ICASSP
2011
IEEE
14 years 6 months ago
Unsupervised determination of efficient Korean LVCSR units using a Bayesian Dirichlet process model
Korean is an agglutinative language that does not have explicit word boundaries. It is also a highly inflective language that exhibits severe coarticulation effects. These charac...
Sakriani Sakti, Andrew M. Finch, Ryosuke Isotani, ...
119
Voted
CVPR
2000
IEEE
16 years 4 months ago
Impact of Dynamic Model Learning on Classification of Human Motion
The human figure exhibits complex and rich dynamic behavior that is both nonlinear and time-varying. However, most work on tracking and analysis of figure motion has employed eith...
Vladimir Pavlovic, James M. Rehg
117
Voted
ICML
2007
IEEE
16 years 3 months ago
The matrix stick-breaking process for flexible multi-task learning
In multi-task learning our goal is to design regression or classification models for each of the tasks and appropriately share information between tasks. A Dirichlet process (DP) ...
Ya Xue, David B. Dunson, Lawrence Carin
117
Voted
ACL
2010
15 years 23 days ago
Phrase-Based Statistical Language Generation Using Graphical Models and Active Learning
Most previous work on trainable language generation has focused on two paradigms: (a) using a statistical model to rank a set of generated utterances, or (b) using statistics to i...
François Mairesse, Milica Gasic, Filip Jurc...
131
Voted
CVIU
2006
256views more  CVIU 2006»
15 years 2 months ago
Human body pose detection using Bayesian spatio-temporal templates
We present a template-based approach to detecting human silhouettes in a specific walking pose. Our templates consist of short sequences of 2D silhouettes obtained from motion cap...
Miodrag Dimitrijevic, Vincent Lepetit, Pascal Fua