3236 search results - page 128 / 648 » Active kernel learning |
114
Voted
GBRPR
2009
Springer
15 years 7 months ago
2009
Springer
This article shows how the interactive segmentation tool termed “Active Paintbrush” and a fully automatic region merging can both be based on the theoretical framework of contr...
119
Voted
ICA
2007
Springer
15 years 2 months ago
2007
Springer
Abstract. This paper introduces gradient based method for robust assessment of the sparse pulse sources, such as motor unit innervation pulse trains in the filed of electromyograp...
108
Voted
CVPR
2007
IEEE
16 years 2 months ago
2007
IEEE
Kernel methods have been widely studied in the field of pattern recognition. These methods implicitly map, "the kernel trick," the data into a space which is more approp...
98
Voted
CIBCB
2005
IEEE
15 years 6 months ago
2005
IEEE
— Part of the challenge of modeling protein sequences is their discrete nature. Many of the most powerful statistical and learning techniques are applicable to points in a Euclid...
114
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IJCAI
2007
15 years 2 months ago
2007
A key challenge in applying kernel-based methods for discriminative learning is to identify a suitable kernel given a problem domain. Many methods instead transform the input data...