209 search results - page 7 / 42 » Evaluating Feature Selection for SVMs in High Dimensions |
102
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JMLR
2010
14 years 5 months ago
2010
The rapid advance of computer technologies in data processing, collection, and storage has provided unparalleled opportunities to expand capabilities in production, services, comm...
ICPR
2010
IEEE
15 years 3 months ago
2010
IEEE
Abstract—Due to their ability to model sequential data without making unnecessary independence assumptions, conditional random fields (CRFs) have become an increasingly popular ...
ICRA
2008
IEEE
15 years 4 months ago
2008
IEEE
— This paper presents a novel human detection method based on a Bayesian fusion approach using laser range data and camera images. Laser range data analysis groups data points wi...
GECCO
2005
Springer
15 years 3 months ago
2005
Springer
Negative selection algorithms for hamming and real-valued shape-spaces are reviewed. Problems are identified with the use of these shape-spaces, and the negative selection algori...
104
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CSL
2006
Springer
14 years 10 months ago
2006
Springer
Support vector machines (SVMs) have proven to be a powerful technique for pattern classification. SVMs map inputs into a high dimensional space and then separate classes with a hy...