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» On the Bit Extraction Problem
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115
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RULEML
2004
Springer
15 years 3 months ago
Rule Learning for Feature Values Extraction from HTML Product Information Sheets
The Web is now a huge information repository with a rich semantic structure that, however, is primarily addressed to human understanding rather than automated processing by a compu...
Costin Badica, Amelia Badica
107
Voted
AAAI
2007
15 years 17 days ago
Relation Extraction from Wikipedia Using Subtree Mining
The exponential growth and reliability of Wikipedia have made it a promising data source for intelligent systems. The first challenge of Wikipedia is to make the encyclopedia mac...
Dat P. T. Nguyen, Yutaka Matsuo, Mitsuru Ishizuka
80
Voted
MVA
2002
147views Computer Vision» more  MVA 2002»
14 years 10 months ago
Extraction of Character String Areas from Color Scenery Image Using Extended Psychological Potential Field
As digital cameras have been used widely, a technology to extract features of character string areas from scenery (nature) image is required. However, it is very difficult to extr...
Masanori Anegawa, Akira Nakamura
103
Voted
IJRR
2010
88views more  IJRR 2010»
14 years 5 months ago
Extracting Object Contours with the Sweep of a Robotic Whisker Using Torque Information
Several recent studies have investigated the problem of object feature extraction with artificial whiskers. Many of these studies have used an approach in which the whisker is rot...
Joseph H. Solomon, Mitra J. Z. Hartmann
105
Voted
ICCV
2011
IEEE
13 years 10 months ago
Latent Low-Rank Representation for Subspace Segmentation and Feature Extraction
Low-Rank Representation (LRR) [16, 17] is an effective method for exploring the multiple subspace structures of data. Usually, the observed data matrix itself is chosen as the dic...
Guangcan Liu, Shuicheng Yan