Feature representation selection based on Classifier Projection Space and Oracle analysis-Reference-Cited by-同舟云学术

Feature representation selection based on Classifier Projection Space and Oracle analysis

Published:2013-07 Issue:9 Volume:40 Page:3813-3827
ISSN:0957-4174
Container-title:Expert Systems with Applications
language:en
Short-container-title:Expert Systems with Applications

Author:

Cruz Rafael M.O.,Cavalcanti George D.C.,Tsang Ing Ren,Sabourin Robert

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Engineering

Reference44 articles.

1. Improving performance of HMM-based off-line signature verification systems through a multi-hypothesis approach;Batista;International Journal of Document Analysis and Recognition,2010

2. A SVM-based cursive character recognizer;Camastra;Pattern Recognition,2007

3. Offline cursive character challenge: A new benchmark for machine learning and pattern recognition algorithms;Camastra;International Conference on Pattern Recognition,2006

4. Dual classifier system for handprinted alphanumeric character recognition;Chim;Pattern Analysis and Application,1998

5. Deep big simple neural nets excel on handwritten digit recognition;Ciresan;Computer Research Repository,2010

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