2126 search results - page 267 / 426 » An optimization algorithm for imprecise multi-objective prob... |
225
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JMLR
2012
13 years 9 months ago
2012
Metric and kernel learning arise in several machine learning applications. However, most existing metric learning algorithms are limited to learning metrics over low-dimensional d...
174
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CGF
2008
15 years 6 months ago
2008
We present an unsupervised algorithm for aligning a pair of shapes in the presence of significant articulated motion and missing data, while assuming no knowledge of a template, u...
188
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ICCV
2003
IEEE
16 years 8 months ago
2003
IEEE
Existing autocalibration techniques use numerical optimization algorithms that are prone to the problem of local minima. To address this problem, we have developed a method where ...
155
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ICRA
2007
IEEE
16 years 25 days ago
2007
IEEE
— While the Partially Observable Markov Decision Process (POMDP) provides a formal framework for the problem of robot control under uncertainty, it typically assumes a known and ...
151
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COLT
2005
Springer
16 years 2 days ago
2005
Springer
We study the problem of learning a kernel which minimizes a regularization error functional such as that used in regularization networks or support vector machines. We consider thi...