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» Variability and Component Composition
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AI
2011
Springer
13 years 4 months ago
The extended global cardinality constraint: An empirical survey
The Extended Global Cardinality Constraint (EGCC) is a vital component of constraint solving systems, since it is very widely used to model diverse problems. The literature contai...
Peter Nightingale
JMLR
2010
129views more  JMLR 2010»
13 years 4 months ago
Expectation Truncation and the Benefits of Preselection In Training Generative Models
We show how a preselection of hidden variables can be used to efficiently train generative models with binary hidden variables. The approach is based on Expectation Maximization (...
Jörg Lücke, Julian Eggert
PUC
2010
205views more  PUC 2010»
13 years 4 months ago
A database-based framework for gesture recognition
Abstract Gestures are an important modality for human-machine communication. Computer vision modules performing gesture recognition can be important components of intelligent homes...
Vassilis Athitsos, Haijing Wang, Alexandra Stefan
CORR
2012
Springer
187views Education» more  CORR 2012»
12 years 5 months ago
Sequential Inference for Latent Force Models
Latent force models (LFMs) are hybrid models combining mechanistic principles with non-parametric components. In this article, we shall show how LFMs can be equivalently formulate...
Jouni Hartikainen, Simo Särkkä
ICIP
2005
IEEE
14 years 11 months ago
SAR images as mixtures of Gaussian mixtures
We consider the problem of image segmentation by clustering local histograms with parametric mixture-of-mixture models. These models represent each cluster by a single mixture mod...
Peter Orbanz, Joachim M. Buhmann