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» Prototype selection for dissimilarity-based classifiers
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ICDAR
2009
IEEE
13 years 2 months ago
Prototype Selection for Handwritten Connected Digits Classification
After the handwritten segmentation process, it is common to have connected digits. This is due to the great size and shape digit variations. In addition, the acquisition and the b...
Cristiano de Santana Pereira, George D. C. Cavalca...
ICPR
2008
IEEE
13 years 10 months ago
On the selection of base prototypes for LAESA and TLAESA classifiers
—The k nearest neighbor (k-NN) classifier has been extensively used as a nonparametric technique in Pattern Recognition. However, in some applications where the training set is l...
Selene Hernández-Rodríguez, Jos&eacu...
PR
2006
102views more  PR 2006»
13 years 4 months ago
Prototype selection for dissimilarity-based classifiers
A conventional way to discriminate between objects represented by dissimilarities is the nearest neighbor method. A more efficient and sometimes a more accurate solution is offere...
Elzbieta Pekalska, Robert P. W. Duin, Pavel Pacl&i...
FLAIRS
2004
13 years 5 months ago
Prototype Based Classifier Design with Pruning
An algorithm is proposed to prune the prototype vectors (prototype selection) used in a nearest neighbor classifier so that a compact classifier can be obtained with similar or ev...
Jiang Li, Michael T. Manry, Changhua Yu
SSPR
2000
Springer
13 years 8 months ago
Some Notes on Twenty One (21) Nearest Prototype Classifiers
Comparisons made in two studies of 21 methods for finding prototypes upon which to base the nearest prototype classifier are discussed. The criteria used to compare the methods are...
James C. Bezdek, Ludmila Kuncheva