2126 search results - page 267 / 426 » An optimization algorithm for imprecise multi-objective prob... |
217
click to vote
JMLR
2012
13 years 8 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...
170
click to vote
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...
185
click to vote
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 ...
153
click to vote
ICRA
2007
IEEE
16 years 19 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 ...
148
click to vote
COLT
2005
Springer
15 years 12 months 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...