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» Combining SVM Classifiers for Handwritten Digit Recognition
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NIPS
1994
13 years 8 months ago
Recognizing Handwritten Digits Using Mixtures of Linear Models
We construct a mixture of locally linear generative models of a collection of pixel-based images of digits, and use them for recognition. Different models of a given digit are use...
Geoffrey E. Hinton, Michael Revow, Peter Dayan
ICPR
2000
IEEE
14 years 8 months ago
Experiments with an Extended Tangent Distance
Invariance is an important aspect in image object recognition. We present results obtained with an extended tangent distance incorporated in a kernel density based Bayesian classi...
Daniel Keysers, Hermann Ney, Jörg Dahmen, Tho...
JUCS
2008
155views more  JUCS 2008»
13 years 7 months ago
Combining Classifiers in the ROC-space for Off-line Signature Verification
: In this work we present a strategy for off-line signature verification. It takes into account a writer-independent model which reduces the pattern recognition problem to a 2-clas...
Luiz S. Oliveira, Edson J. R. Justino, Robert Sabo...
CIARP
2007
Springer
14 years 1 months ago
Confusion Matrix Disagreement for Multiple Classifiers
We present a methodology to analyze Multiple Classifiers Systems (MCS) performance, using the disagreement concept. The goal is to define an alternative approach to the conventiona...
Cinthia Obladen de Almendra Freitas, João M...
SIBGRAPI
2000
IEEE
13 years 12 months ago
Handwritten Digits Segmentation Based on Structural Approach
This article deals with a new segmentation approach applied to unconstrained handwritten digits. The novelty of the proposed algorithm is based on the combination of two types of s...
Luiz E. Soares de Oliveira, Edouard Lethelier, Fl&...