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» Combining SVM Classifiers for Handwritten Digit Recognition
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ICDAR
2009
IEEE
14 years 2 months ago
Unsupervised Selection and Discriminative Estimation of Orthogonal Gaussian Mixture Models for Handwritten Digit Recognition
The problem of determining the appropriate number of components is important in finite mixture modeling for pattern classification. This paper considers the application of an unsu...
Xuefeng Chen, Xiabi Liu, Yunde Jia
ICPR
2004
IEEE
14 years 8 months ago
A Two-Stage Approach for Segmentation and Recognition of Handwritten Digit Strings Collected from Mail Pieces
In this paper, we present an approach to interpret handwritten digit strings by employing a two-stage segmentation and recognition scheme. The first stage processing is to deal wi...
Gyeonghwan Kim, Seon-Hwa Jeong, Sungwon Park, Yunh...
ICPR
2002
IEEE
14 years 8 months ago
The Economics of Classification: Error vs. Complexity
Although usually classifier error is the main concern in publications, in real applications classifier evaluation complexity may play a large role as well. In this paper, a simple...
Dick de Ridder, Elzbieta Pekalska, Robert P. W. Du...
ICMCS
2006
IEEE
117views Multimedia» more  ICMCS 2006»
14 years 1 months ago
Distributed SVM Applied to Image Classification
This paper proposes an algorithm for distributed classification, based on a SVM scheme. The contribution of each support vector is approximated by low complexity distributed thre...
Effrosini Kokiopoulou, Pascal Frossard
ESANN
1997
13 years 8 months ago
Neural network cooperation for handwritten digit recognition: a comparison of four methods
In this paper we focus on "off-line digit recognition" with anknown scriptor. After presenting two neural recognisers, we evaluate four solutions to combine results obta...
Yvon Autret, Andre Thepaut