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IJCNLP
2005
Springer
14 years 2 months ago
A Machine Learning Approach to Sentence Ordering for Multidocument Summarization and Its Evaluation
Ordering information is a difficult but a important task for natural language generation applications. A wrong order of information not only makes it difficult to understand, but a...
Danushka Bollegala, Naoaki Okazaki, Mitsuru Ishizu...
ICDAR
2009
IEEE
14 years 3 months ago
Text Detection and Localization in Complex Scene Images using Constrained AdaBoost Algorithm
We have proposed a complete system for text detection and localization in gray scale scene images. A boosting framework integrating feature and weak classifier selection based on...
Shehzad Muhammad Hanif, Lionel Prevost
ICONIP
2008
13 years 10 months ago
Local Feature Selection in Text Clustering
Abstract. Feature selection has improved the performance of text clustering. Global feature selection tries to identify a single subset of features which are relevant to all cluste...
Marcelo N. Ribeiro, Manoel J. R. Neto, Ricardo Bas...
KDD
2004
ACM
160views Data Mining» more  KDD 2004»
14 years 9 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
ICASSP
2010
IEEE
13 years 7 months ago
On-the-fly video genre classification by combination of audio features
Video genre identification methods are frequently based on image or motion analysis, which are relatively timeconsuming processes. Since such approaches are tractable by batch pro...
Mickael Rouvier, Georges Linares, Driss Matrouf