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ICCV
2009
IEEE
13 years 5 months ago
A hybrid generative/discriminative classification framework based on free-energy terms
Hybrid generative-discriminative techniques and, in particular, generative score-space classification methods have proven to be valuable approaches in tackling difficult object or...
Alessandro Perina, Marco Cristani, Umberto Castell...
ECEASST
2010
13 years 4 months ago
Safe Integration of Annotated Components in Open Source Projects
: The decision of using existing software components versus building from scratch custom software is one of the most complex and important choices of the entire development/integra...
Sergio Areias, Daniela Carneiro da Cruz, Pedro Ran...
CDC
2010
IEEE
160views Control Systems» more  CDC 2010»
13 years 2 months ago
Model-on-Demand predictive control for nonlinear hybrid systems with application to adaptive behavioral interventions
This paper presents a data-centric modeling and predictive control approach for nonlinear hybrid systems. System identification of hybrid systems represents a challenging problem b...
Naresh N. Nandola, Daniel E. Rivera
CORR
2011
Springer
151views Education» more  CORR 2011»
13 years 2 months ago
A supervised clustering approach for fMRI-based inference of brain states
We propose a method that combines signals from many brain regions observed in functional Magnetic Resonance Imaging (fMRI) to predict the subject’s behavior during a scanning se...
Vincent Michel, Alexandre Gramfort, Gaël Varo...
JMLR
2011
148views more  JMLR 2011»
13 years 2 months ago
Multitask Sparsity via Maximum Entropy Discrimination
A multitask learning framework is developed for discriminative classification and regression where multiple large-margin linear classifiers are estimated for different predictio...
Tony Jebara