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BMCBI
2006
183views more  BMCBI 2006»
15 years 6 months ago
Mining gene expression data by interpreting principal components
Background: There are many methods for analyzing microarray data that group together genes having similar patterns of expression over all conditions tested. However, in many insta...
Joseph C. Roden, Brandon W. King, Diane Trout, Ali...
EWC
2007
60views more  EWC 2007»
15 years 6 months ago
A simulation-based design paradigm for complex cast components
This paper describes and exercises a new design paradigm for cast components. The methodology integrates foundry process simulation, non-destructive evaluation (nde), stress analys...
Stéphane P. A. Bordas, James G. Conley, Bri...
177
Voted
ISBI
2007
IEEE
16 years 13 days ago
Statistical Shape Analysis via Principal Factor Analysis
Statistical shape analysis techniques commonly employed in the medical imaging community, such as Active Shape Models or Active Appearance Models, rely on Principal Component Anal...
Mauricio Reyes, Marius George Linguraru, Kostas Ma...
ICDAR
2003
IEEE
15 years 11 months ago
Numeral Recognition by Weighting Local Decisions
This paper presents a new technique to improve the combination of classification decisions obtained from local analysis of patterns. Specifically, a genetic algorithm is used to d...
Giovanni Dimauro, Sebastiano Impedovo, Raffaele Mo...
143
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ICDAR
2005
IEEE
15 years 11 months ago
Fast Convolutional OCR with the Scanning N-Tuple Grid
This paper introduces a novel high speed convolutional character recognition system. Convolutional mode operation means that no prior localization or segmentation of characters is...
Simon M. Lucas, Kyu Tae Cho