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» Unsupervised Feature Selection Using Feature Similarity
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ICPR
2008
IEEE
14 years 4 months ago
Computer graphics identification using genetic algorithm
This paper proposes the use of genetic algorithm to select an optimal feature set for distinguishing computer graphics from digital photographic images. Our previously developed a...
Wen Chen, Yun Q. Shi, Guorong Xuan, Wei Su
TMI
2002
146views more  TMI 2002»
13 years 10 months ago
Feature-Guided Shape-Based Image Interpolation
Abstract--A feature-guided image interpolation scheme is presented. It is an effective and improved, shape-based interpolation method used for interpolating image slices in medical...
Tong-Yee Lee, Chao-Hung Lin
BMCBI
2008
163views more  BMCBI 2008»
13 years 10 months ago
Gene Ontology term overlap as a measure of gene functional similarity
Background: The availability of various high-throughput experimental and computational methods allows biologists to rapidly infer functional relationships between genes. It is oft...
Meeta Mistry, Paul Pavlidis
CISS
2008
IEEE
14 years 4 months ago
Unsupervised distributional anomaly detection for a self-diagnostic speech activity detector
— One feature that classification algorithms typically lack is the ability to know what they do not know. With this knowledge an algorithm would be able to operate in any domain...
Nash M. Borges, Gerard G. L. Meyer
ICPR
2008
IEEE
14 years 4 months ago
Effective scene matching with local feature representatives
Scene matching measures the similarity of scenes in photos and is of central importance in applications where we have to properly organize large amount of digital photos by scene ...
Shugao Ma, Weiqiang Wang, Qingming Huang, Shuqiang...