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» Using model knowledge for learning inverse dynamics
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141
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SIBGRAPI
2000
IEEE
15 years 7 months ago
An Off-Line Signature Verification System using Hidden Markov Model and Cross-Validation
This work has as main objective to present an off-line signature verification system. It is basically divided into three parts. The first one demonstrates a pre-processing process,...
Edson J. R. Justino, Abdenaim El Yacoubi, Fl&aacut...
141
Voted
ICPR
2002
IEEE
16 years 3 months ago
Boosting and Structure Learning in Dynamic Bayesian Networks for Audio-Visual Speaker Detection
Bayesian networks are an attractive modeling tool for human sensing, as they combine an intuitive graphical representation with ef?cient algorithms for inference and learning. Ear...
Tanzeem Choudhury, James M. Rehg, Vladimir Pavlovi...
ECAI
2008
Springer
15 years 4 months ago
Modeling the Dynamics of Mood and Depression
Both for developing human-like virtual agents and for developing intelligent systems that make use of knowledge about the emotional state of the user, it is important to model the ...
Fiemke Both, Mark Hoogendoorn, Michel C. A. Klein,...
ECIS
2000
15 years 4 months ago
Perspectives on Knowledge Management Systems - Theoretical Framework and Design of an Empirical Study
Abstract- This paper deals with "Knowledge Management Systems" (KMS) which are seen as a new kind of information systems supporting organizational information processing....
Ronald Maier, Franz Lehner
ML
2006
ACM
131views Machine Learning» more  ML 2006»
15 years 2 months ago
Markov logic networks
We propose a simple approach to combining first-order logic and probabilistic graphical models in a single representation. A Markov logic network (MLN) is a first-order knowledge b...
Matthew Richardson, Pedro Domingos