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PAA
2008
13 years 9 months ago
A sparse Bayesian approach for joint feature selection and classifier learning
Abstract In this paper we present a new method for Joint Feature Selection and Classifier Learning (JFSCL) using a sparse Bayesian approach. These tasks are performed by optimizing...
Àgata Lapedriza, Santi Seguí, David ...
PG
2007
IEEE
14 years 3 months ago
Genus Oblivious Cross Parameterization: Robust Topological Management of Inter-Surface Maps
We consider the problem of generating a map between two triangulated meshes, M and M’, with arbitrary and possibly differing genus. This problem has rarely been tackled in its g...
Janine Bennett, Valerio Pascucci, Kenneth I. Joy
ICML
2007
IEEE
14 years 10 months ago
Supervised feature selection via dependence estimation
We introduce a framework for filtering features that employs the Hilbert-Schmidt Independence Criterion (HSIC) as a measure of dependence between the features and the labels. The ...
Le Song, Alex J. Smola, Arthur Gretton, Karsten M....
IROS
2009
IEEE
132views Robotics» more  IROS 2009»
14 years 3 months ago
Automatic selection of task spaces for imitation learning
Abstract— Previous work [1] shows that the movement representation in task spaces offers many advantages for learning object-related and goal-directed movement tasks through imit...
Manuel Mühlig, Michael Gienger, Jochen J. Ste...
ISOLA
2007
Springer
14 years 3 months ago
Using Invariant Detection Mechanism in Black Box Inference
The testing and formal verification of black box software components is a challenging domain. The problem is even harder when specifications of these components are not available...
Muzammil Shahbaz, Roland Groz