613 search results - page 22 / 123 » The Pre-Image Problem in Kernel Methods |
PAKDD
2007
ACM
14 years 1 months ago
2007
ACM
Convolution kernels, constructed by convolution of sub-kernels defined on sub-structures of composite objects, are widely used in classification, where one important issue is to ch...
CVPR
2010
IEEE
13 years 5 months ago
2010
IEEE
We address the problem of computing joint sparse representation of visual signal across multiple kernel-based representations. Such a problem arises naturally in supervised visual...
ACL
2003
13 years 9 months ago
2003
Kernel-based learning (e.g., Support Vector Machines) has been successfully applied to many hard problems in Natural Language Processing (NLP). In NLP, although feature combinatio...
ICCV
2009
IEEE
15 years 15 days ago
2009
IEEE
Mean shift clustering is a powerful unsupervised data
analysis technique which does not require prior knowledge
of the number of clusters, and does not constrain the shape
of th...
ECCV
2008
Springer
14 years 9 months ago
2008
Springer
We show that the complexity of the recently introduced medoid-shift algorithm in clustering N points is O(N2 ), with a small constant, if the underlying distance is Euclidean. This...