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» Combinations of Weak Classifiers
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ICML
2008
IEEE
16 years 5 months ago
Composite kernel learning
The Support Vector Machine (SVM) is an acknowledged powerful tool for building classifiers, but it lacks flexibility, in the sense that the kernel is chosen prior to learning. Mul...
Marie Szafranski, Yves Grandvalet, Alain Rakotomam...
ICML
2004
IEEE
16 years 5 months ago
Multi-task feature and kernel selection for SVMs
We compute a common feature selection or kernel selection configuration for multiple support vector machines (SVMs) trained on different yet inter-related datasets. The method is ...
Tony Jebara
MICCAI
2009
Springer
16 years 1 months ago
ECOC Random Fields for Lumen Segmentation in Radial Artery IVUS Sequences
The measure of lumen volume on radial arteries can be used to evaluate the vessel response to different vasodilators. In this paper, we present a framework for automatic lumen segm...
Francesco Ciompi, Oriol Pujol, Eduard Ferná...
ICASSP
2009
IEEE
15 years 11 months ago
Audio segmentation for speech recognition using segment features
Audio segmentation is an essential preprocessing step in several audio processing applications with a significant impact e.g. on speech recognition performance. We introduce a no...
David Rybach, Christian Gollan, Ralf Schlüter...
IROS
2009
IEEE
114views Robotics» more  IROS 2009»
15 years 11 months ago
A Distributed boundary detection algorithm for multi-robot systems
— We describe a distributed boundary detection algorithm suitable for use on multi-robot systems with dynamic network topologies. We assume that each robot has access to its loca...
James McLurkin, Erik D. Demaine