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» Learning a Generative Model for Structural Representations
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FCSC
2010
238views more  FCSC 2010»
13 years 6 months ago
Knowledge discovery through directed probabilistic topic models: a survey
Graphical models have become the basic framework for topic based probabilistic modeling. Especially models with latent variables have proved to be effective in capturing hidden str...
Ali Daud, Juanzi Li, Lizhu Zhou, Faqir Muhammad
ICLP
2005
Springer
14 years 2 months ago
Modeling Systems in CLP
We present a methodology for the modeling of complex program behavior in CLP. In the first part we present an informal description about how to represent a system in CLP. At its ...
Joxan Jaffar, Andrew E. Santosa, Razvan Voicu
ECCV
2002
Springer
14 years 10 months ago
Implicit Probabilistic Models of Human Motion for Synthesis and Tracking
Abstract. This paper addresses the problem of probabilistically modeling 3D human motion for synthesis and tracking. Given the high dimensional nature of human motion, learning an ...
Hedvig Sidenbladh, Michael J. Black, Leonid Sigal
CN
1999
143views more  CN 1999»
13 years 8 months ago
Embedding Knowledge in Web Documents
The paper argues for the use of general and intuitive knowledge representation languages (and simpler notational variants, e.g. subsets of natural languages) for indexing the cont...
Philippe Martin, Peter W. Eklund
ICIP
2010
IEEE
13 years 6 months ago
Comparison of merging orders and pruning strategies for Binary Partition Tree in hyperspectral data
Hyperspectral imaging segmentation has been an active research area over the past few years. Despite the growing interest, some factors such as high spectrum variability are still...
Silvia Valero, Philippe Salembier, Jocelyn Chanuss...