178 search results - page 4 / 36 » Can Learning in the Limit Be Done Efficiently |
ICPR
2010
IEEE
13 years 8 months ago
2010
IEEE
Canonical correlation analysis (CCA) is a powerful tool for analyzing multi-dimensional paired data. However, CCA tends to perform poorly when the number of paired samples is limit...
ICML
2010
IEEE
13 years 7 months ago
2010
IEEE
We consider the problem of how to improve the efficiency of Multiple Kernel Learning (MKL). In literature, MKL is often solved by an alternating approach: (1) the minimization of ...
ICML
2005
IEEE
14 years 6 months ago
2005
IEEE
In the information regularization framework by Corduneanu and Jaakkola (2005), the distributions of labels are propagated on a hypergraph for semi-supervised learning. The learnin...
CVPR
2010
IEEE
14 years 1 months ago
2010
IEEE
Conditional Random Field models have proved effective for several low-level computer vision problems. Inference in these models involves solving a combinatorial optimization probl...
NIME
2004
Springer
13 years 11 months ago
2004
Springer
When envisaging new digital instruments, designers do not have to limit themselves to their sonic capabilities (which can be absolutely any), not even to their algorithmic power; ...