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» Predicting diverse subsets using structural SVMs
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ICML
2008
IEEE
14 years 5 months ago
Predicting diverse subsets using structural SVMs
In many retrieval tasks, one important goal involves retrieving a diverse set of results (e.g., documents covering a wide range of topics for a search query). First of all, this r...
Yisong Yue, Thorsten Joachims
KDD
2002
ACM
160views Data Mining» more  KDD 2002»
14 years 5 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...
ICML
2009
IEEE
14 years 5 months ago
Learning structural SVMs with latent variables
We present a large-margin formulation and algorithm for structured output prediction that allows the use of latent variables. Our proposal covers a large range of application prob...
Chun-Nam John Yu, Thorsten Joachims
TWC
2008
169views more  TWC 2008»
13 years 4 months ago
Antenna subset diversity with non-ideal channel estimation
In modern wireless systems employing diversity techniques, combining all the available diversity branches may not be feasible due to complexity and resource constraints. To allevia...
Wesley M. Gifford, Moe Z. Win, Marco Chiani
ICIAR
2004
Springer
13 years 10 months ago
Face Class Modeling Using Mixture of SVMs
We 1 present a method for face detection which uses a new SVM structure trained in an expert manner in the eigenface space. This robust method has been introduced as a post process...
Julien Meynet, Vlad Popovici, Jean-Philippe Thiran