403 search results - page 24 / 81 » Metric and Kernel Learning Using a Linear Transformation |
161
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PAMI
2011
14 years 11 months ago
2011
—In solving complex visual learning tasks, adopting multiple descriptors to more precisely characterize the data has been a feasible way for improving performance. The resulting ...
130
Voted
CVPR
2008
IEEE
16 years 6 months ago
2008
IEEE
The earth mover's distance (EMD) [16] is an important perceptually meaningful metric for comparing histograms, but it suffers from high (O(N3 log N)) computational complexity...
169
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BMCBI
2007
15 years 3 months ago
2007
Background: Much recent work in bioinformatics has focused on the inference of various types of biological networks, representing gene regulation, metabolic processes, protein-pro...
134
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AIIA
2005
Springer
15 years 9 months ago
2005
Springer
Abstract. Improving accuracy in Information Retrieval tasks via semantic information is a complex problem characterized by three main aspects: the document representation model, th...
136
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COLING
2008
15 years 5 months ago
2008
This paper discusses local alignment kernels in the context of the relation extraction task. We define a local alignment kernel based on the Smith-Waterman measure as a sequence s...