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ICPR
2002
IEEE
15 years 10 months ago
Text Scanner with Text Detection Technology on Image Sequences
We propose a text scanner, which detects wide text strings in a sequence of scene images. For scene text detection, we use a multiple-CAMShift algorithm on a text probability imag...
Keechul Jung, Kwang In Kim, JungHyun Han
AI
2010
Springer
14 years 11 months ago
Improving Multiclass Text Classification with Error-Correcting Output Coding and Sub-class Partitions
Error-Correcting Output Coding (ECOC) is a general framework for multiclass text classification with a set of binary classifiers. It can not only help a binary classifier solve mul...
Baoli Li, Carl Vogel
KDD
2004
ACM
160views Data Mining» more  KDD 2004»
15 years 10 months ago
Boosting for Text Classification with Semantic Features
Abstract. Current text classification systems typically use term stems for representing document content. Semantic Web technologies allow the usage of features on a higher semantic...
Stephan Bloehdorn, Andreas Hotho
ACL
2006
14 years 11 months ago
Automatic Classification of Verbs in Biomedical Texts
away concepts from the surface form of the text. The authors argue that while there has been research into automatic classification, general classification schemes are unsuitable f...
Anna Korhonen, Yuval Krymolowski, Nigel Collier
DATAMINE
2008
112views more  DATAMINE 2008»
14 years 9 months ago
PRIE: a system for generating rulelists to maximize ROC performance
Rules are commonly used for classification because they are modular, intelligible and easy to learn. Existing work in classification rule learning assumes the goal is to produce ca...
Tom Fawcett