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» Feature Extraction Using ICA
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106
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ITS
2010
Springer
171views Multimedia» more  ITS 2010»
15 years 7 months ago
Identifying Problem Localization in Peer-Review Feedback
Abstract. In this paper, we use supervised machine learning to automatically identify the problem localization of peer-review feedback. Using five features extracted via Natural L...
Wenting Xiong, Diane J. Litman
122
Voted
ICIAR
2005
Springer
15 years 8 months ago
Envelope Detection of Multi-object Shapes
The purpose of this paper is to allow for high level shape representation and matching in multi-object images by detecting and extracting the envelope of object groupings in the im...
Naif Alajlan, Ossama El Badawy, Mohamed S. Kamel, ...
170
Voted
PKDD
2001
Springer
185views Data Mining» more  PKDD 2001»
15 years 7 months ago
Temporal Rule Discovery for Time-Series Satellite Images and Integration with RDB
Feature extraction and knowledge discovery from a large amount of image data such as remote sensing images have become highly required recent years. In this study, a framework for ...
Rie Honda, Osamu Konishi
122
Voted
EVOW
2006
Springer
15 years 6 months ago
Evolutionary Singularity Filter Bank Optimization for Fingerprint Image Enhancement
Singularity is the special feature of fingerprints for identification and classification. Since the performance of singularity extraction depends on the quality of fingerprint imag...
Ung-Keun Cho, Jin-Hyuk Hong, Sung-Bae Cho
117
Voted
BIBE
2008
IEEE
15 years 4 months ago
Susceptibility of texture measures to noise: An application to lung tumor CT images
Five different texture methods are used to investigate their susceptibility to subtle noise occurring in lung tumor Computed Tomography (CT) images caused by acquisition and recons...
Omar S. Al-Kadi, D. Watson