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ML
2002
ACM
167views Machine Learning» more  ML 2002»
13 years 8 months ago
Linear Programming Boosting via Column Generation
We examine linear program (LP) approaches to boosting and demonstrate their efficient solution using LPBoost, a column generation based simplex method. We formulate the problem as...
Ayhan Demiriz, Kristin P. Bennett, John Shawe-Tayl...
MVA
2011
336views Computer Vision» more  MVA 2011»
13 years 3 months ago
In-vehicle camera traffic sign detection and recognition
: In this paper we discuss theoretical foundations and a practical realization of a real-time traffic sign detection, tracking and recognition system operating on board of a vehicl...
Andrzej Ruta, Fatih Porikli, Shintaro Watanabe, Yo...
CVPR
2009
IEEE
15 years 3 months ago
Learning Shape Prior Models for Object Matching
The aim of this work is to learn a shape prior model for an object class and to improve shape matching with the learned shape prior. Given images of example instances, we can le...
Cordelia Schmid, Frédéric Jurie, Tin...
CVPR
2009
IEEE
15 years 3 months ago
An Instance Selection Approach to Multiple Instance Learning
Multiple-instance Learning (MIL) is a new paradigm of supervised learning that deals with the classification of bags. Each bag is presented as a collection of instances from whi...
Zhouyu Fu (Australian National University), Antoni...
ICCV
2009
IEEE
15 years 1 months ago
Compact Signatures for High-Speed Interest Point Description and Matching
Prominent feature point descriptors such as SIFT and SURF allow reliable real-time matching but at a compu- tational cost that limits the number of points that can be handled on...
Michael Calonder, Vincent Lepetit, Pascal Fua, Kur...