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ICIP
2008
IEEE
14 years 7 months ago
Variational Bayesian image processing on stochastic factor graphs
In this paper, we present a patch-based variational Bayesian framework of image processing using the language of factor graphs (FGs). The variable and factor nodes of FGs represen...
Xin Li
AAAI
1998
13 years 7 months ago
Structured Representation of Complex Stochastic Systems
This paperconsidersthe problem of representingcomplex systems that evolve stochastically over time. Dynamic Bayesian networks provide a compact representation for stochastic proce...
Nir Friedman, Daphne Koller, Avi Pfeffer
ITA
2006
13 years 5 months ago
Probabilistic models for pattern statistics
In this work we study some probabilistic models for the random generation of words over a given alphabet used in the literature in connection with pattern statistics. Our goal is t...
Massimiliano Goldwurm, Roberto Radicioni
EDOC
2004
IEEE
13 years 9 months ago
A Framework for Integrating Business Processes and Business Requirements
Service-oriented architectures and Web service infrastructure provide the ideal framework for interconnecting organizations and for defining distributed business applications. The...
Raman Kazhamiakin, Marco Pistore, Marco Roveri
TAL
2004
Springer
13 years 11 months ago
Expressive Power and Consistency Properties of State-of-the-Art Natural Language Parsers
Abstract. We define Probabilistic Constrained W-grammars (PCWgrammars), a two-level formalism capable of capturing grammatical frameworks used in two state of the art parsers, nam...
Gabriel G. Infante López, Maarten de Rijke