1750 search results - page 190 / 350 » Gender Classification Using Support Vector Machines |
167
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ECML
2006
Springer
15 years 10 months ago
2006
Springer
Abstract. In this paper, we propose a new method for learning to rank. `Ranking SVM' is a method for performing the task. It formulizes the problem as that of binary classific...
244
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SEAL
2010
Springer
15 years 4 months ago
2010
Springer
Abstract. Mainstream surrogate approaches for multi-objective problems build one approximation for each objective. Mono-surrogate approaches instead aim at characterizing the Paret...
220
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ICPR
2008
IEEE
16 years 8 months ago
2008
IEEE
Abstract: Kernel classifiers based on Support Vector Machines (SVM) have achieved state-ofthe-art results in several visual classification tasks, however, recent publications and d...
209
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CIRA
2007
IEEE
16 years 1 months ago
2007
IEEE
Abstract—In classical image classification approaches, lowlevel features have been used. But the high dimensionality of feature spaces poses a challenge in terms of feature selec...
184
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CIKM
2008
Springer
15 years 8 months ago
2008
Springer
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...