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» Classification Using Geometric Level Sets
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JMLR
2010
143views more  JMLR 2010»
13 years 2 months ago
Rademacher Complexities and Bounding the Excess Risk in Active Learning
Sequential algorithms of active learning based on the estimation of the level sets of the empirical risk are discussed in the paper. Localized Rademacher complexities are used in ...
Vladimir Koltchinskii
TCS
2002
13 years 7 months ago
Tilings as a programming exercise
We investigate the problem of producing symmetric tilings by programs in a uniform way. By this, we mean that the construction of a tiling should be parameterized by the geometric...
Guy Cousineau
APCCM
2009
13 years 8 months ago
Multi-Level Domain Modeling with M-Objects and M-Relationships
Using traditional semantic data modeling, multi-level modeling can be achieved by representing objects in different abstraction hierarchies, namely classification, aggregation and...
Bernd Neumayr, Katharina Grün, Michael Schref...
ICMCS
2006
IEEE
162views Multimedia» more  ICMCS 2006»
14 years 1 months ago
Musical Signal Type Discrimination based on Large Open Feature Sets
Automatic discrimination of musical signal types as speech, singing, music, genres or drumbeats within audio streams is of great importance e.g. for radio broadcast stream segment...
Björn Schuller, Frank Wallhoff, Dejan Arsic, ...
CLOR
2006
13 years 11 months ago
A Discriminative Framework for Texture and Object Recognition Using Local Image Features
This chapter presents an approach for texture and object recognition that uses scale- or affine-invariant local image features in combination with a discriminative classifier. Text...
Svetlana Lazebnik, Cordelia Schmid, Jean Ponce