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» Covering Numbers for Support Vector Machines
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CIKM
2008
Springer
15 years 1 months ago
Learning a two-stage SVM/CRF sequence classifier
Learning a sequence classifier means learning to predict a sequence of output tags based on a set of input data items. For example, recognizing that a handwritten word is "ca...
Guilherme Hoefel, Charles Elkan
SDM
2011
SIAM
232views Data Mining» more  SDM 2011»
14 years 2 months ago
A Sequential Dual Method for Structural SVMs
In many real world prediction problems the output is a structured object like a sequence or a tree or a graph. Such problems range from natural language processing to computationa...
Shirish Krishnaj Shevade, Balamurugan P., S. Sunda...
IROS
2006
IEEE
247views Robotics» more  IROS 2006»
15 years 5 months ago
Towards Open-Ended 3D Rotation and Shift Invariant Object Detection for Robot Companions
- Robot companions need to be able to constantly acquire knowledge about new objects for instance in order to detect them in the environment. This ability is necessary since it is ...
Jens Kubacki, Winfried Baum
AVBPA
2005
Springer
312views Biometrics» more  AVBPA 2005»
15 years 5 months ago
Evaluation of Biometric Identification in Open Systems
This paper concerns the generalizability of biometric identification results from small-sized closed systems to larger open systems. Many researchers have claimed high identificati...
Michael Gibbons, Sungsoo Yoon, Sung-Hyuk Cha, Char...
BMCBI
2006
146views more  BMCBI 2006»
14 years 12 months ago
Recursive gene selection based on maximum margin criterion: a comparison with SVM-RFE
Background: In class prediction problems using microarray data, gene selection is essential to improve the prediction accuracy and to identify potential marker genes for a disease...
Satoshi Niijima, Satoru Kuhara