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ACCV
2006
Springer
13 years 11 months ago
Complex Activity Representation and Recognition by Extended Stochastic Grammar
Stochastic grammar has been used in many video analysis and event recognition applications as an efficient model to represent large-scale video activity. However, in previous works...
Zhang Zhang, Kaiqi Huang, Tieniu Tan
ICGI
1994
Springer
13 years 11 months ago
Inducing Probabilistic Grammars by Bayesian Model Merging
We describe a framework for inducing probabilistic grammars from corpora of positive samples. First, samples are incorporated by adding ad-hoc rules to a working grammar; subseque...
Andreas Stolcke, Stephen M. Omohundro
IJBRA
2006
111views more  IJBRA 2006»
13 years 7 months ago
Memory efficient alignment between RNA sequences and stochastic grammar models of pseudoknots
: Stochastic Context-Free Grammars (SCFG) has been shown to be effective in modelling RNA secondary structure for searches. Our previous work (Cai et al., 2003) in Stochastic Paral...
Yinglei Song, Chunmei Liu, Russell L. Malmberg, Co...
TAPD
1998
81views more  TAPD 1998»
13 years 8 months ago
A Generalized CYK Algorithm for Parsing Stochastic CFG
We present a bottom-up parsing algorithm for stochastic context-free grammars that is able (1) to deal with multiple interpretations of sentences containing compoundwords; (2) to ...
Jean-Cédric Chappelier, Martin Rajman
EPIA
1995
Springer
13 years 11 months ago
Using Stochastic Grammars to Learn Robotic Tasks
Abstract. The paper introduces a reinforcement learning-based methodology for performance improvement of Intelligent Controllers. The translation interfaces of a 3-level Hierarchic...
Pedro U. Lima, George N. Saridis