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CVPR
2012
IEEE
13 years 9 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
CVPR
2003
IEEE
16 years 8 months ago
Kullback-Leibler Boosting
In this paper, we develop a general classification framework called Kullback-Leibler Boosting, or KLBoosting. KLBoosting has following properties. First, classification is based o...
Ce Liu, Heung-Yeung Shum
ECCV
2000
Springer
16 years 8 months ago
Egomotion Estimation Using Quadruples of Collinear Image Points
This paper considers a fundamental problem in visual motion perception, namely the problem of egomotion estimation based on visual input. Many of the existing techniques for solvin...
Manolis I. A. Lourakis
DAC
2008
ACM
16 years 7 months ago
Stochastic integral equation solver for efficient variation-aware interconnect extraction
In this paper we present an efficient algorithm for extracting the complete statistical distribution of the input impedance of interconnect structures in the presence of a large n...
Tarek Moselhy, Luca Daniel
ICML
2007
IEEE
16 years 7 months ago
Multiclass multiple kernel learning
In many applications it is desirable to learn from several kernels. "Multiple kernel learning" (MKL) allows the practitioner to optimize over linear combinations of kern...
Alexander Zien, Cheng Soon Ong