105 search results - page 8 / 21 » Invariant kernel functions for pattern analysis and machine ... |
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GBRPR
2007
Springer
15 years 3 months ago
2007
Springer
We propose in this article an image classification technique based on kernel methods and graphs. Our work explores the possibility of applying marginalized kernels to image process...
ICIP
2001
IEEE
16 years 1 months ago
2001
IEEE
The use of higher-order local autocorrelations as features for pattern recognition has been acknowledged since many years, but their applicability was restricted to relatively low...
123
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GECCO
2006
Springer
15 years 3 months ago
2006
Springer
In this paper we embed evolutionary computation into statistical learning theory. First, we outline the connection between large margin optimization and statistical learning and s...
97
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BMCBI
2008
14 years 11 months ago
2008
Background: Post-translational modifications have a substantial influence on the structure and functions of protein. Post-translational phosphorylation is one of the most common m...
UAI
2000
15 years 28 days ago
2000
The Support Vector Machine (SVM) of Vapnik [9] has become widely established as one of the leading approaches to pattern recognition and machine learning. It expresses predictions...