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EWIMT
2004
14 years 11 months ago
2004
The identification of categories in image databases usually relies on clustering algorithms that only exploit the feature-based similarities between images. The addition of semant...
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TAL
2010
Springer
14 years 8 months ago
2010
Springer
Abstract. Most common feature selection techniques for document categorization are supervised and require lots of training data in order to accurately capture the descriptive and d...
HCI
2009
14 years 7 months ago
2009
Categorical data appears in various places, and dealing with it has been a major concern in analysis fields. However, representing not only global trends but also local trends of d...
CVPR
2006
IEEE
15 years 11 months ago
2006
IEEE
With the growing interest in object categorization various methods have emerged that perform well in this challenging task, yet are inherently limited to only a moderate number of...
CIKM
2007
Springer
15 years 3 months ago
2007
Springer
Several problems in text categorization are too hard to be solved by standard bag-of-words representations. Work in kernel-based learning has approached this problem by (i) consid...