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» A Stochastic Grammar of Images
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103
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IBPRIA
2003
Springer
15 years 4 months ago
Smoothing Techniques for Tree-k-Grammar-Based Natural Language Modeling
Abstract. In a previous work, a new probabilistic context-free grammar (PCFG) model for natural language parsing derived from a tree bank corpus has been introduced. The model esti...
Jose L. Verdú-Mas, Jorge Calera-Rubio, Rafa...
CVPR
2010
IEEE
15 years 7 months ago
Building Reconstruction using Manhattan-World Grammars
We present a passive computer vision method that exploits existing mapping and navigation databases in order to automatically create 3D building models. Our method defines a gramm...
Carlos Vanegas, Daniel Aliaga, Bedrich Benes

Publication
281views
16 years 10 months ago
Modeling Image Textures by Gibbs Random Fields
Drawbacks of the traditional scenario of image modeling by Gibbs random fields with multiple pairwise pixel interactions are outlined, and a more reasonable alternative scenario b...
Georgy Gimel'farb
MLDM
2001
Springer
15 years 3 months ago
Learning XML Grammars
0 Temporal Abstractions and Case-Based Reasoning for Medical Course Data: Two Prognostic Applications R. Schmidt and R. Gierl University of Rostock, Germany 9.00-9.30 Local Learnin...
Henning Fernau
73
Voted
ICIP
2001
IEEE
16 years 18 days ago
Robust estimation of depth and motion using stochastic approximation
The problemof structurefrom motion (SFM)is to extract the three-dimensionalmodel of a moving scene from a sequence of images. Though two images are sufficient to produce a 3D reco...
Rama Chellappa, Amit K. Roy Chowdhury