709 search results - page 71 / 142 » Dynamically Adapting Kernels in Support Vector Machines |
125
Voted
CORR
2008
Springer
15 years 3 months ago
2008
Springer
Maximum Variance Unfolding (MVU) and its variants have been very successful in embedding data-manifolds in lower dimensionality spaces, often revealing the true intrinsic dimensio...
138
Voted
CDC
2010
IEEE
14 years 10 months ago
2010
IEEE
Abstract-- This paper focuses on the identification of nonlinear hybrid systems involving unknown nonlinear dynamics. The proposed method extends the framework of [1] by introducin...
122
Voted
ICASSP
2011
IEEE
14 years 7 months ago
2011
IEEE
We describe a system for automatically extracting dynamics of tongue gestures from ultrasound images of the tongue using translational deep belief networks (tDBNs). In tDBNs, a jo...
106
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MLG
2007
Springer
15 years 10 months ago
2007
Springer
We give a universal kernel that renders all the regular languages linearly separable. We are not able to compute this kernel efficiently and conjecture that it is intractable, but...
156
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NIPS
2003
15 years 5 months ago
2003
This paper presents a method for learning a distance metric from relative comparison such as “A is closer to B than A is to C”. Taking a Support Vector Machine (SVM) approach,...