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Stochastic And-Or grammars (AOG) extend traditional stochastic grammars of language to model other types of data such as images and events.
Syntactic pattern recognition and applications
King Sun Fu · 1982
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Generalized context-free grammars, head grammars and natural language
Carl Pollard · 1984
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Parsing with discontinuous constituents
Mark Johnson · 1985
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Characterizing mildly context-sensitive grammar formalisms
David Jeremy Weir · 1988
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Information-based Syntax and Semantics: Vol. 1: Fundamentals
Carl Pollard and Ivan A. Sag · 1988
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Constraint-based grammar formalisms: parsing and type inference for natural and computer languages
Stuart M Shieber · 1992
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Probabilistic horn abduction and bayesian networks
David Poole · 1993
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Stochastic logic programs
Stephen Muggleton · 1996
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Foundations of statistical natural language processing
Christopher D. Manning and Hinrich Schütze · 1999
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Recognition of visual activities and interactions by stochastic parsing
Yuri A. Ivanov and Aaron F. Bobick · 2000
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Thin junction trees
Francis R Bach and Michael I Jordan · 2001
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Learning with mixtures of trees
Marina Meila and Michael I Jordan · 2001
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Parameter learning of logic programs for symbolic-statistical modeling
Taisuke Sato and Yoshitaka Kameya · 2001
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Parameter estimation in stochastic logic programs
James Cussens · 2001
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A differential approach to inference in bayesian networks
Adnan Darwiche · 2003
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A stochastic grammar of images
Song-Chun Zhu and David Mumford · 2006
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Context and hierarchy in a probabilistic image model
Ya Jin and Stuart Geman · 2006
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Recognition of composite human activities through context-free grammar based representation
M. S. Ryoo and J. K. Aggarwal · 2006
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Image parsing with stochastic scene grammar
Yibiao Zhao and Song Chun Zhu · 2011
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Sum-product networks : A new deep architecture
Hoifung Poon and Pedro Domingos · 2011
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Articulated pose estimation with flexible mixtures-of-parts
Yi Yang and Deva Ramanan · 2011
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Learning latent tree graphical models
Myung Jin Choi, Vincent YF Tan, Animashree Anandkumar, and Alan S Willsky · 2011
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A tractable first-order probabilistic logic
Pedro Domingos and William Austin Webb · 2012
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Hierarchical space tiling for scene modeling
Shuo Wang, Yizhou Wang, and Song-Chun Zhu · 2013
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Lise Getoor and Ben Taskar · 2007
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And/or search spaces for graphical models
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Using causal induction in humans to learn and infer causality from video
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Unsupervised structure learning of stochastic and-or grammars
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Tractable probabilistic knowledge bases with existence uncertainty
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Joint video and text parsing for understanding events and answering queries
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On theoretical properties of sum-product networks
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