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» Feature Selection and Effective Classifiers
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VLSISP
2002
139views more  VLSISP 2002»
13 years 8 months ago
A Modified Minimum Classification Error (MCE) Training Algorithm for Dimensionality Reduction
Dimensionality reduction is an important problem in pattern recognition. There is a tendency of using more and more features to improve the performance of classifiers. However, not...
Xuechuan Wang, Kuldip K. Paliwal
ICDAR
2011
IEEE
12 years 8 months ago
Tuning between Exponential Functions and Zones for Membership Functions Selection in Voronoi-Based Zoning for Handwritten Charac
— In Handwritten Character Recognition, zoning is rigtly considered as one of the most effective feature extraction techniques. In the past, many zoning methods have been propose...
Sebastiano Impedovo, Giuseppe Pirlo
BMCBI
2007
143views more  BMCBI 2007»
13 years 9 months ago
Gene selection for classification of microarray data based on the Bayes error
Background: With DNA microarray data, selecting a compact subset of discriminative genes from thousands of genes is a critical step for accurate classification of phenotypes for, ...
Ji-Gang Zhang, Hong-Wen Deng
IJMI
2007
86views more  IJMI 2007»
13 years 8 months ago
Using argumentation to extract key sentences from biomedical abstracts
s from Biomedical Abstracts Patrick Rucha , Celia Boyer c , Christine Chichesterb , Imad Tbahritiab Antoine Geissbühlera , Paul Fabrya , Julien Gobeilla , Violaine Pilletab , Diet...
Patrick Ruch, Célia Boyer, Christine Chiche...
3DIM
2001
IEEE
14 years 17 days ago
Efficient Variants of the ICP Algorithm
The ICP (Iterative Closest Point) algorithm is widely used for geometric alignment of three-dimensional models when an initial estimate of the relative pose is known. Many variant...
Szymon Rusinkiewicz, Marc Levoy