63 search results - page 2 / 13 » Learning low-rank kernel matrices |
CVPR
2007
IEEE
14 years 7 months ago
2007
IEEE
Several authors have noticed that the common representation of images as vectors is sub-optimal. The process of vectorization eliminates spatial relations between some of the near...
ICML
2006
IEEE
14 years 6 months ago
2006
IEEE
Kernel learning plays an important role in many machine learning tasks. However, algorithms for learning a kernel matrix often scale poorly, with running times that are cubic in t...
ICML
2007
IEEE
14 years 6 months ago
2007
IEEE
We generalize the Winnow algorithm for learning disjunctions to learning subspaces of low rank. Subspaces are represented by symmetric projection matrices. The online algorithm ma...
ICML
2007
IEEE
14 years 6 months ago
2007
IEEE
Many kernel learning methods have to assume parametric forms for the target kernel functions, which significantly limits the capability of kernels in fitting diverse patterns. Som...
BICOB
2010
Springer
13 years 3 months ago
2010
Springer
Fold recognition is a key problem in computational biology that involves classifying protein sharing structural similarities into classes commonly known as "folds". Rece...