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109
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MCS
2005
Springer
15 years 8 months ago
Ensemble of SVMs for Incremental Learning
Support Vector Machines (SVMs) have been successfully applied to solve a large number of classification and regression problems. However, SVMs suffer from the catastrophic forgetti...
Zeki Erdem, Robi Polikar, Fikret S. Gürgen, N...
107
Voted
SSPR
2004
Springer
15 years 8 months ago
Learning from General Label Constraints
Most machine learning algorithms are designed either for supervised or for unsupervised learning, notably classification and clustering. Practical problems in bioinformatics and i...
Tijl De Bie, Johan A. K. Suykens, Bart De Moor
127
Voted
SSPR
2004
Springer
15 years 8 months ago
Learning of Form Models from Exemplars
Model-based image recognition requires a general model of the object that should be detected in an image. In many applications such models are not known a-priori instead of they mu...
Petra Perner, Silke Jänichen
IBPRIA
2009
Springer
15 years 7 months ago
Local Boosted Features for Pedestrian Detection
The present paper addresses pedestrian detection using local boosted features that are learned from a small set of training images. Our contribution is to use two boosting steps. T...
Michael Villamizar, Alberto Sanfeliu, Juan Andrade...
137
Voted
PLILP
1998
Springer
15 years 6 months ago
A Compiler for Rewrite Programs in Associative-Commutative Theories
Abstract. We address the problem of term normalisation modulo associativecommutative (AC) theories, and describe several techniques for compiling many-to-one AC matching and reduce...
Pierre-Etienne Moreau, Hélène Kirchn...