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» Approximation Stability and Boosting
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ACCV
2007
Springer
15 years 11 months ago
Learning a Fast Emulator of a Binary Decision Process
Abstract. Computation time is an important performance characteristic of computer vision algorithms. This paper shows how existing (slow) binary-valued decision algorithms can be a...
Jan Sochman, Jiri Matas
SIAMCO
2008
87views more  SIAMCO 2008»
15 years 5 months ago
Homogeneous Approximation, Recursive Observer Design, and Output Feedback
We introduce two new tools that can be useful in nonlinear observer and output feedback design. The first one is a simple extension of the notion of homogeneous approximation to ma...
Vincent Andrieu, Laurent Praly, Alessandro Astolfi
181
Voted
MP
2010
149views more  MP 2010»
15 years 4 months ago
Copositive programming motivated bounds on the stability and the chromatic numbers
The Lov´asz theta number of a graph G can be viewed as a semidefinite programming relaxation of the stability number of G. It has recently been shown that a copositive strengthe...
Igor Dukanovic, Franz Rendl
CVPR
2012
IEEE
13 years 8 months ago
Boosting algorithms for simultaneous feature extraction and selection
The problem of simultaneous feature extraction and selection, for classifier design, is considered. A new framework is proposed, based on boosting algorithms that can either 1) s...
Mohammad J. Saberian, Nuno Vasconcelos
ML
2012
ACM
413views Machine Learning» more  ML 2012»
14 years 1 months ago
Gradient-based boosting for statistical relational learning: The relational dependency network case
Dependency networks approximate a joint probability distribution over multiple random variables as a product of conditional distributions. Relational Dependency Networks (RDNs) are...
Sriraam Natarajan, Tushar Khot, Kristian Kersting,...