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» Genetic Algorithms for Component Analysis
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96
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ICIP
2010
IEEE
15 years 1 months ago
Learning simple texture discrimination filters
Current texture analysis methods enable good discrimination but are computationally too expensive for applications which require high frame rates. This occurs because they use red...
Rui F. C. Guerreiro, Pedro M. Q. Aguiar
ICDAR
2009
IEEE
15 years 10 months ago
Arabic Handwriting Recognition Using Restored Stroke Chronology
In this paper we present a system of the off-line handwriting recognition. Our recognition system is based on temporal order restoration of the off-line trajectory. For this task ...
Abdelkarim Elbaati, Houcine Boubaker, Monji Kheral...
118
Voted
ISNN
2004
Springer
15 years 9 months ago
A Novel Clustering Analysis Based on PCA and SOMs for Gene Expression Patterns
This paper proposes a novel clustering analysis algorithm based on principal component analysis (PCA) and self-organizing maps (SOMs) for clustering the gene expression patterns. T...
Hong-Qiang Wang, De-Shuang Huang, Xing-Ming Zhao, ...
134
Voted
MCS
2007
Springer
15 years 9 months ago
Fusion of Support Vector Classifiers for Parallel Gabor Methods Applied to Face Verification
In this paper we present a fusion technique for Support Vector Machine (SVM) scores, obtained after a dimension reduction with Bilateralprojection-based Two-Dimensional Principal C...
Ángel Serrano, Isaac Martín de Diego...
126
Voted
DAS
2006
Springer
15 years 7 months ago
Finding the Best-Fit Bounding-Boxes
The bounding-box of a geometric shape in 2D is the rectangle with the smallest area in a given orientation (usually upright) that complete contains the shape. The best-fit bounding...
Bo Yuan, Leong Kwoh, Chew Lim Tan