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» Scalable Feature Extraction from Noisy Documents
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SLSFS
2005
Springer
14 years 27 days ago
Auxiliary Variational Information Maximization for Dimensionality Reduction
Abstract. Mutual Information (MI) is a long studied measure of information content, and many attempts to apply it to feature extraction and stochastic coding have been made. Howeve...
Felix V. Agakov, David Barber
ECIR
2004
Springer
13 years 8 months ago
Identification of Relevant and Novel Sentences Using Reference Corpus
In the novelty task on sentence level, the amount of information used in similarity computation is the major challenging issue. A shallow NLP approach extracts noun and verb featu...
Hsin-Hsi Chen, Ming-Feng Tsai, Ming-Hung Hsu
ICIP
2005
IEEE
14 years 9 months ago
Segmenting small regions in the presence of noise
Binary segmentation, a problem of extracting foreground objects from the background, often arises in medical imaging and document processing. Popular existing solutions include Ex...
Rashi Samur, Vitali Zagorodnov
IRFC
2010
Springer
14 years 6 days ago
Knowledge Modeling in Prior Art Search
This study explores the benefits of integrating knowledge representations in prior art patent retrieval. Key to the introduced approach is the utilization of human judgment availa...
Erik Graf, Ingo Frommholz, Mounia Lalmas, Keith va...
ICIP
2008
IEEE
14 years 9 months ago
Local-spectrum-based distinction between handwritten and machine-printed characters
In this paper, we propose a method to distinguish between handwritten and machine-printed characters with no need to locate character or text-line positions. We transform a local ...
Jumpei Koyama, Akira Hirose, Masahiro Kato