40 search results - page 2 / 8 » A trainable feature extractor for handwritten digit recognit... |
ESANN
2006
13 years 6 months ago
2006
We investigate when sparse coding of sensory inputs can improve performance in a classification task. For this purpose, we use a standard data set, the MNIST database of handwritte...
ICPR
2002
IEEE
14 years 6 months ago
2002
IEEE
This paper discusses the use of genetic algorithm for feature selection for handwriting recognition. Its novelty lies in the use of a multi-objective genetic algorithms where sens...
INFORMATICASI
2008
13 years 5 months ago
2008
MVA
2010
12 years 11 months ago
2010
CIARP
2009
Springer
13 years 11 months ago
2009
Springer
This paper brings a contribution to the problem of efficiently recognizing handwritten words from a limited size lexicon. For that, a multiple classifier system has been developed...