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» Modeling interleaved hidden processes
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PAKDD
2009
ACM
171views Data Mining» more  PAKDD 2009»
14 years 3 months ago
Detecting Abnormal Events via Hierarchical Dirichlet Processes
Abstract. Detecting abnormal event from video sequences is an important problem in computer vision and pattern recognition and a large number of algorithms have been devised to tac...
Xian-Xing Zhang, Hua Liu, Yang Gao, Derek Hao Hu
ECCV
2008
Springer
15 years 26 days ago
A Probabilistic Approach to Integrating Multiple Cues in Visual Tracking
Abstract. This paper presents a novel probabilistic approach to integrating multiple cues in visual tracking. We perform tracking in different cues by interacting processes. Each p...
Wei Du, Justus H. Piater
UML
1998
Springer
14 years 3 months ago
Automating the Synthesis of UML StateChart Diagrams from Multiple Collaboration Diagrams
The use of scenarios has become a popular technique for requirements elicitation and specification building. Since scenarios capture only partial descriptions of system behavior, ...
Ismaïl Khriss, Mohammed Elkoutbi, Rudolf K. K...
JMLR
2010
202views more  JMLR 2010»
13 years 5 months ago
Learning the Structure of Deep Sparse Graphical Models
Deep belief networks are a powerful way to model complex probability distributions. However, it is difficult to learn the structure of a belief network, particularly one with hidd...
Ryan Prescott Adams, Hanna M. Wallach, Zoubin Ghah...
ICIP
2005
IEEE
15 years 19 days ago
SAR images as mixtures of Gaussian mixtures
We consider the problem of image segmentation by clustering local histograms with parametric mixture-of-mixture models. These models represent each cluster by a single mixture mod...
Peter Orbanz, Joachim M. Buhmann