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KDD
2002
ACM
160views Data Mining» more  KDD 2002»
14 years 8 months ago
Scaling multi-class support vector machines using inter-class confusion
Support vector machines (SVMs) excel at two-class discriminative learning problems. They often outperform generative classifiers, especially those that use inaccurate generative m...
Shantanu Godbole, Sunita Sarawagi, Soumen Chakraba...
CGF
2008
201views more  CGF 2008»
13 years 7 months ago
High-Resolution Volumetric Computation of Offset Surfaces with Feature Preservation
We present a new algorithm for the efficient and reliable generation of offset surfaces for polygonal meshes. The algorithm is robust with respect to degenerate configurations and...
Darko Pavic, Leif Kobbelt
CVPR
2005
IEEE
14 years 9 months ago
Hierarchical Part-Based Visual Object Categorization
We propose a generative model that codes the geometry and appearance of generic visual object categories as a loose hierarchy of parts, with probabilistic spatial relations linkin...
Guillaume Bouchard, Bill Triggs
BMCBI
2010
102views more  BMCBI 2010»
13 years 2 months ago
Predicting protein-protein interactions in unbalanced data using the primary structure of proteins
Background: Elucidating protein-protein interactions (PPIs) is essential to constructing protein interaction networks and facilitating our understanding of the general principles ...
Chi-Yuan Yu, Lih-Ching Chou, Darby Tien-Hao Chang
KDD
2007
ACM
190views Data Mining» more  KDD 2007»
14 years 8 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