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» Scalable Feature Extraction from Noisy Documents
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ICDAR
2009
IEEE
13 years 7 months ago
Extraction of Characters on Signboards in Natural Scene Images by Stump Classifiers
We present a method to detect characters on signboards in natural scene images. For many applications, both classifier with small computational cost and the efficient feature set,...
Minoru Maruyama, Takuma Yamaguchi
IR
2007
13 years 9 months ago
Learning-based summarisation of XML documents
Documents formatted in eXtensible Markup Language (XML) are available in collections of various document types. In this paper, we present an approach for the summarisation of XML d...
Massih-Reza Amini, Anastasios Tombros, Nicolas Usu...
KDD
2008
ACM
120views Data Mining» more  KDD 2008»
14 years 10 months ago
Entity categorization over large document collections
Extracting entities (such as people, movies) from documents and identifying the categories (such as painter, writer) they belong to enable structured querying and data analysis ov...
Arnd Christian König, Rares Vernica, Venkates...
ICMI
2004
Springer
281views Biometrics» more  ICMI 2004»
14 years 3 months ago
Articulatory features for robust visual speech recognition
Visual information has been shown to improve the performance of speech recognition systems in noisy acoustic environments. However, most audio-visual speech recognizers rely on a ...
Kate Saenko, Trevor Darrell, James R. Glass
ICDAR
2003
IEEE
14 years 3 months ago
Word Searching in CCITT Group 4 Compressed Document Images
In this paper, we present a compressed pattern matching method for searching user queried words in the CCITT Group 4 compressed document images, without decompressing. The feature...
Yue Lu, Chew Lim Tan