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126
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ICML
2008
IEEE
16 years 3 months ago
Nearest hyperdisk methods for high-dimensional classification
In high-dimensional classification problems it is infeasible to include enough training samples to cover the class regions densely. Irregularities in the resulting sparse sample d...
Hakan Cevikalp, Bill Triggs, Robi Polikar
103
Voted
ICML
2002
IEEE
16 years 3 months ago
IEMS - The Intelligent Email Sorter
Classification of email is an important everyday task for a large and growing number of users. This paper describes the machine learning approaches underlying the i-ems (Intellige...
Elisabeth Crawford, Judy Kay, Eric McCreath
118
Voted
KDD
2007
ACM
190views Data Mining» more  KDD 2007»
16 years 2 months ago
Model-shared subspace boosting for multi-label classification
Typical approaches to multi-label classification problem require learning an independent classifier for every label from all the examples and features. This can become a computati...
Rong Yan, Jelena Tesic, John R. Smith
142
Voted
ICDM
2009
IEEE
207views Data Mining» more  ICDM 2009»
15 years 8 days ago
Spatially Adaptive Classification and Active Learning of Multispectral Data with Gaussian Processes
Multispectral remote sensing images are widely used for automated land use and land cover classification tasks. Remotely sensed images usually cover large geographical areas, and s...
Goo Jun, Ranga Raju Vatsavai, Joydeep Ghosh
136
Voted
ICMCS
2006
IEEE
131views Multimedia» more  ICMCS 2006»
15 years 8 months ago
Self-Supervised Learning for Robust Video Indexing
The performance of video analysis and indexing algorithms strongly depends on the type, content and recording characteristics of the analyzed video. Current video indexing approac...
Ralph Ewerth, Bernd Freisleben