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ICPR
2008
IEEE
16 years 1 months ago
Effective shrinkage of large multi-class linear svm models for text categorization
When linear support vector machines (SVMs) are applied to multi-class text categorization in industry, the size of the linear SVM model is very large, usually greater than several...
Jian-xiong Dong, Ching Y. Suen, Adam Krzyzak
ICDAR
2007
IEEE
16 years 1 months ago
Fast Lexicon-Based Scene Text Recognition with Sparse Belief Propagation
Using a lexicon can often improve character recognition under challenging conditions, such as poor image quality or unusual fonts. We propose a flexible probabilistic model for c...
Jerod J. Weinman, Erik G. Learned-Miller, Allen R....
AWIC
2007
Springer
16 years 28 days ago
Improving Text Classification by Web Corpora
A major difficulty of supervised approaches for text classification is that they require a great number of training instances in order to construct an accurate classifier. This pap...
Rafael Guzmán-Cabrera, Manuel Montes-y-G&oa...
ISWC
2006
IEEE
16 years 23 days ago
Eye of the Beholder: Phone-Based Text-Recognition for the Visually-Impaired
Blind and visually-impaired people cannot access essential information in the form of written text in our environment (e.g., on restaurant menus, street signs, door labels, produc...
Tudor Dumitras, Matthew L. Lee, Pablo Quinones, As...
COMPSAC
2005
IEEE
16 years 11 days ago
Recovering "Lack of Words" in Text Categorization for Item Banks
PKIP, Patterned Keywords in Phrase, is our feature selection approach to text categorization (TC) for item banks. An item bank is a collection of textual data in which each item c...
Atorn Nuntiyagul, Nick Cercone, Kanlaya Naruedomku...