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» Convex Learning with Invariances
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ISOLA
2007
Springer
14 years 1 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
ISVC
2005
Springer
14 years 1 months ago
A Vectorial Self-dual Morphological Filter Based on Total Variation Minimization
We present a vectorial self dual morphological filter. Contrary to many methods, our approach does not require the use of an ordering on vectors. It relies on the minimization of ...
Jérôme Darbon, Sylvain Peyronnet
AFPAC
2000
Springer
341views Mathematics» more  AFPAC 2000»
13 years 12 months ago
An Associative Perception-Action Structure Using a Localized Space Variant Information Representation
Abstract. Most of the processing in vision today uses spatially invariant operations. This gives efficient and compact computing structures, with the conventional convenient separa...
Gösta H. Granlund
ICML
2006
IEEE
14 years 8 months ago
A DC-programming algorithm for kernel selection
We address the problem of learning a kernel for a given supervised learning task. Our approach consists in searching within the convex hull of a prescribed set of basic kernels fo...
Andreas Argyriou, Raphael Hauser, Charles A. Micch...