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» Supervised Feature Extraction Using Hilbert-Schmidt Norms
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IPM
2007
149views more  IPM 2007»
14 years 11 months ago
Web page title extraction and its application
This paper is concerned with automatic extraction of titles from the bodies of HTML documents (web pages). Titles of HTML documents should be correctly defined in the title fields...
Yewei Xue, Yunhua Hu, Guomao Xin, Ruihua Song, Shu...
BMCBI
2008
185views more  BMCBI 2008»
14 years 11 months ago
Mining clinical relationships from patient narratives
Background: The Clinical E-Science Framework (CLEF) project has built a system to extract clinically significant information from the textual component of medical records in order...
Angus Roberts, Robert J. Gaizauskas, Mark Hepple, ...
ICB
2007
Springer
183views Biometrics» more  ICB 2007»
15 years 3 months ago
Robust Point-Based Feature Fingerprint Segmentation Algorithm
Abstract. A critical step in automatic fingerprint recognition is the accurate segmentation of fingerprint images. The objective of fingerprint segmentation is to decide which part...
Chaohong Wu, Sergey Tulyakov, Venu Govindaraju
ICASSP
2011
IEEE
14 years 3 months ago
OpenBliSSART: Design and evaluation of a research toolkit for Blind Source Separation in Audio Recognition Tasks
We describe and evaluate our toolkit openBliSSART (open-source Blind Source Separation for Audio Recognition Tasks), which is the C++ framework and toolbox that we have successful...
Felix Weninger, Alexander Lehmann, Björn Schu...
FGR
2008
IEEE
214views Biometrics» more  FGR 2008»
15 years 6 months ago
Normalized LDA for semi-supervised learning
Linear Discriminant Analysis (LDA) has been a popular method for feature extracting and face recognition. As a supervised method, it requires manually labeled samples for training...
Bin Fan, Zhen Lei, Stan Z. Li