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» Evaluating machine learning for information extraction
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CIVR
2006
Springer
139views Image Analysis» more  CIVR 2006»
15 years 5 months ago
NPIC: Hierarchical Synthetic Image Classification Using Image Search and Generic Features
We introduce NPIC, an image classification system that focuses on synthetic (e.g., non-photographic) images. We use class-specific keywords in an image search engine to create a no...
Fei Wang, Min-Yen Kan
IR
2007
15 years 1 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...
CVIU
2004
152views more  CVIU 2004»
15 years 1 months ago
Detecting image orientation based on low-level visual content
Accurately and automatically detecting image orientation is of great importance in intelligent image processing. In this paper, we present automatic image orientation detection al...
Yongmei Michelle Wang, HongJiang Zhang
109
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DSMML
2004
Springer
15 years 5 months ago
Efficient Communication by Breathing
The arithmetic-coding-based communication system, Dasher, can be driven by a one-dimensional continuous signal. A belt-mounted breath-mouse, delivering a signal related to lung vol...
Tom Shorrock, David MacKay, Chris Ball
ICDE
2008
IEEE
203views Database» more  ICDE 2008»
16 years 3 months ago
Training Linear Discriminant Analysis in Linear Time
Linear Discriminant Analysis (LDA) has been a popular method for extracting features which preserve class separability. It has been widely used in many fields of information proces...
Deng Cai, Xiaofei He, Jiawei Han