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UAI
2004
15 years 7 months ago
The Minimum Information Principle for Discriminative Learning
Exponential models of distributions are widely used in machine learning for classification and modelling. It is well known that they can be interpreted as maximum entropy models u...
Amir Globerson, Naftali Tishby
ECMDAFA
2009
Springer
138views Hardware» more  ECMDAFA 2009»
16 years 1 months ago
A Pattern Mining Approach Using QVT
Model Driven Software Development (MDSD) has matured over the last few years and is now becoming an established technology. Models are used in various contexts, where the possibili...
Jens Kübler, Thomas Goldschmidt
WACV
2008
IEEE
16 years 27 days ago
Background Subtraction for Temporally Irregular Dynamic Textures
In the traditional mixture of Gaussians background model, the generating process of each pixel is modeled as a mixture of Gaussians over color. Unfortunately, this model performs ...
Gerald Dalley, Joshua Migdal, W. Eric L. Grimson
HICSS
2005
IEEE
127views Biometrics» more  HICSS 2005»
16 years 4 days ago
Enterprise Architecture Analysis with XML
This paper shows how XML can be used for static and dynamic analysis of architectures. Our analysis is based on the distinction between symbolic and semantic models of architectur...
Frank S. de Boer, Marcello M. Bonsangue, Joost Jac...
SRDS
2003
IEEE
15 years 11 months ago
Distributed Programming for Dummies: A Shifting Transformation Technique
The perfectly synchronized round model provides the abstraction of crash-stop failures with atomic message delivery. This abstraction makes distributed programming very easy. We p...
Carole Delporte-Gallet, Hugues Fauconnier, Rachid ...