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» On Latent Belief Structures
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CVPR
2007
IEEE
14 years 12 months ago
Learning Motion Categories using both Semantic and Structural Information
Current approaches to motion category recognition typically focus on either full spatiotemporal volume analysis (holistic approach) or analysis of the content of spatiotemporal in...
Shu-Fai Wong, Tae-Kyun Kim, Roberto Cipolla
FTCGV
2011
122views more  FTCGV 2011»
13 years 1 months ago
Structured Learning and Prediction in Computer Vision
Powerful statistical models that can be learned efficiently from large amounts of data are currently revolutionizing computer vision. These models possess a rich internal structur...
Sebastian Nowozin, Christoph H. Lampert
CIVR
2006
Springer
144views Image Analysis» more  CIVR 2006»
14 years 1 months ago
A Linear-Algebraic Technique with an Application in Semantic Image Retrieval
Abstract. This paper presents a novel technique for learning the underlying structure that links visual observations with semantics. The technique, inspired by a text-retrieval tec...
Jonathon S. Hare, Paul H. Lewis, Peter G. B. Enser...
LPNMR
2009
Springer
14 years 2 months ago
Belief Logic Programming: Uncertainty Reasoning with Correlation of Evidence
Abstract. Belief Logic Programming (BLP) is a novel form of quantitative logic programming in the presence of uncertain and inconsistent information, which was designed to be able ...
Hui Wan, Michael Kifer
JMLR
2012
12 years 11 days ago
Multiresolution Deep Belief Networks
Motivated by the observation that coarse and fine resolutions of an image reveal different structures in the underlying visual phenomenon, we present a model based on the Deep B...
Yichuan Tang, Abdel-rahman Mohamed