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JIIS
2002
168views more  JIIS 2002»
15 years 6 months ago
Hidden Markov Models for Text Categorization in Multi-Page Documents
In the traditional setting, text categorization is formulated as a concept learning problem where each instance is a single isolated document. However, this perspective is not appr...
Paolo Frasconi, Giovanni Soda, Alessandro Vullo
DMIN
2009
195views Data Mining» more  DMIN 2009»
15 years 4 months ago
Improved k-NN Algorithm for Text Classification
- Over the last twenty years, text classification has become one of the key techniques for organizing electronic information such as text and web documents. The k-Nearest Neighbor ...
Muhammed Miah
CVPR
2011
IEEE
15 years 2 months ago
Enforcing Similarity Constraints with Integer Programming for Better Scene Text Recognition
The recognition of text in everyday scenes is made difficult by viewing conditions, unusual fonts, and lack of linguistic context. Most methods integrate a priori appearance info...
David Smith, Jacqueline Feild, Eric Learned-Miller
PAKDD
1999
ACM
113views Data Mining» more  PAKDD 1999»
15 years 11 months ago
Characterization of Default Knowledge in Ripple Down Rules Method
Abstract. \Ripple Down Rules (RDR)" Method is one of the promising approaches to directly acquire and encode knowledge from human experts. It requires data to be supplied incr...
Takuya Wada, Tadashi Horiuchi, Hiroshi Motoda, Tak...
AUSDM
2006
Springer
144views Data Mining» more  AUSDM 2006»
15 years 10 months ago
A Characterization of Wordnet Features in Boolean Models For Text Classification
Supervised text classification is the task of automatically assigning a category label to a previously unlabeled text document. We start with a collection of pre-labeled examples ...
Trevor N. Mansuy, Robert J. Hilderman