Evaluation of prototype learning algorithms for nearest-neighbor classifier in application to handwritten character recognition
- 31 March 2001
- journal article
- Published by Elsevier in Pattern Recognition
- Vol. 34 (3) , 601-615
- https://doi.org/10.1016/s0031-3203(00)00018-2
Abstract
No abstract availableKeywords
This publication has 43 references indexed in Scilit:
- Fast implementations of nearest neighbor classifiersPattern Recognition, 1997
- The box-cox metric for nearest neighbour classification improvementPattern Recognition, 1997
- Finding prototypes for nearest neighbour classification by means of gradient descent and deterministic annealingPattern Recognition, 1997
- Gradient descent learning of nearest neighbor classifiers with outlier rejectionPattern Recognition, 1995
- Optimal design of reference models for large-set handwritten character recognitionPattern Recognition, 1994
- Nonlinear shape normalization methods for the recognition of large-set handwritten charactersPattern Recognition, 1994
- Evaluation of pattern classifiers for fingerprint and OCR applicationsPattern Recognition, 1994
- Prototype optimization for nearest neighbor classifiers using a two-layer perceptronPattern Recognition, 1993
- Optical recognition of handwritten Chinese characters: Advances since 1980Pattern Recognition, 1993
- A nonlinear normalization method for handprinted kanji character recognition—line density equalizationPattern Recognition, 1990