5046 search results - page 230 / 1010 » Feature Selection from Huge Feature Sets |
154
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GECCO
2007
Springer
16 years 23 days ago
2007
Springer
In many design tasks it is difficult to explicitly define an objective function. This paper uses machine learning to derive an objective in a feature space based on selected examp...
188
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JCP
2008
15 years 6 months ago
2008
kernel canonical correlation analysis (KCCA) is a recently addressed supervised machine learning methods, which shows to be a powerful approach of extracting nonlinear features for...
181
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CIKM
2004
Springer
16 years 13 hour ago
2004
Springer
This paper presents a cluster validation based document clustering algorithm, which is capable of identifying both important feature words and true model order (cluster number). I...
171
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ICIAP
1999
ACM
15 years 11 months ago
1999
ACM
In this work we propose a new supervised deformable model that generalizes the classical contour-based snake. This model is defined to deform in a feature space generated by a se...
203
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PCM
2009
Springer
16 years 1 months ago
2009
Springer
Recently, the bag-of-words (BOW) based image representation is getting popular in object categorization. However, there is no available visual vocabulary and it has to be learned. ...