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NIPS
2000
15 years 6 months ago
Feature Selection for SVMs
We introduce a method of feature selection for Support Vector Machines. The method is based upon finding those features which minimize bounds on the leave-one-out error. This sear...
Jason Weston, Sayan Mukherjee, Olivier Chapelle, M...
AICCSA
2005
IEEE
129views Hardware» more  AICCSA 2005»
15 years 7 months ago
Enhanced visual evaluation of feature extractors for image mining
Plus BROWSE SEARCH IEEE XPLORE GUIDE SUPPORT View TOC Enhanced visual evaluation of feature extractors for image mining Rodrigues, J.F., Jr. Traina, A.J.M. Traina, C., Jr. Comput. ...
José Fernando Rodrigues Jr., Agma J. M. Tra...
CIKM
2005
Springer
15 years 10 months ago
Structural features in content oriented XML retrieval
The structural features of XML components are an extra source of information that should be used in a contentoriented retrieval task on this type of documents. This paper explores...
Georgina Ramírez, Thijs Westerveld, Arjen P...
ASUNAM
2010
IEEE
15 years 6 months ago
Empirical Study of Social Features' Roles in Buyers' Complex Decision Making
This paper aims at studying the roles of social features (as obtained from social networking sources) in buyers' decision process when they are searching for products to buy. ...
Li Chen
VDB
2000
188views Database» more  VDB 2000»
15 years 6 months ago
Toward feature Algebras in Visual Databases: The Case for a Histogram Algebra
Searching and managing large archives of visual data, such as images and video, is made hard by the lack of proper integration between the visual aspects of the problem (image pro...
Amarnath Gupta, Simone Santini