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» On Learning with Integral Operators
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ECCV
2004
Springer
16 years 8 months ago
Weak Hypotheses and Boosting for Generic Object Detection and Recognition
In this paper we describe the first stage of a new learning system for object detection and recognition. For our system we propose Boosting [5] as the underlying learning technique...
Andreas Opelt, Michael Fussenegger, Axel Pinz, Pet...
ECML
2005
Springer
16 years 9 days ago
Kernel Basis Pursuit
ABSTRACT. Estimating a non-uniformly sampled function from a set of learning points is a classical regression problem. Kernel methods have been widely used in this context, but eve...
Vincent Guigue, Alain Rakotomamonjy, Stépha...
HICSS
2003
IEEE
98views Biometrics» more  HICSS 2003»
16 years 2 days ago
Effectiveness and Applicability of Internet-Based Training in the Corporation - Case of Egypt
Learning is the most indispensable activity in the current knowledge-based economy where firms, in order to compete and survive, must be constantly alert, capable of adapting to f...
Mohamed Ibrahim
COLT
1993
Springer
15 years 11 months ago
Bounding the Vapnik-Chervonenkis Dimension of Concept Classes Parameterized by Real Numbers
The Vapnik-Chervonenkis (V-C) dimension is an important combinatorial tool in the analysis of learning problems in the PAC framework. For polynomial learnability, we seek upper bou...
Paul W. Goldberg, Mark Jerrum
ICAI
2008
15 years 8 months ago
Nonrestrictive Concept-Acquisition by Representational Redescription
coarse procedures or very abstract frames from the point of view of algorithm, because some crucial issues like the representation, evolution, storage, and learning process of conc...
Hui Wei, Yan Chen