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» On Combining Classifiers
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TCBB
2011
13 years 3 months ago
Ensemble Learning with Active Example Selection for Imbalanced Biomedical Data Classification
—In biomedical data, the imbalanced data problem occurs frequently and causes poor prediction performance for minority classes. It is because the trained classifiers are mostly d...
Sangyoon Oh, Min Su Lee, Byoung-Tak Zhang
ECCV
2008
Springer
14 years 10 months ago
Semi-supervised On-Line Boosting for Robust Tracking
Abstract. Recently, on-line adaptation of binary classifiers for tracking have been investigated. On-line learning allows for simple classifiers since only the current view of the ...
Helmut Grabner, Christian Leistner, Horst Bischof
KDD
2002
ACM
147views Data Mining» more  KDD 2002»
14 years 9 months ago
A parallel learning algorithm for text classification
Text classification is the process of classifying documents into predefined categories based on their content. Existing supervised learning algorithms to automatically classify te...
Canasai Kruengkrai, Chuleerat Jaruskulchai
ICIP
2003
IEEE
14 years 10 months ago
Classification of textures seen from different distances and under varying illumination direction
Changes in the angle of illumination incident upon a 3D surface texture can significantly alter its appearance, implying variations in the image texture. These texture variations ...
Xavier Lladó, Joan Martí, Maria Petr...
DEXAW
2010
IEEE
190views Database» more  DEXAW 2010»
13 years 5 months ago
A Comparison of Stylometric and Lexical Features for Web Genre Classification and Emotion Classification in Blogs
In the blogosphere, the amount of digital content is expanding and for search engines, new challenges have been imposed. Due to the changing information need, automatic methods are...
Elisabeth Lex, Andreas Juffinger, Michael Granitze...