IEEE Transactions on Pattern Analysis and Machine Intelligence
Discriminant Waveletfaces and Nearest Feature Classifiers for Face Recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence
Subspace Classification for Face Recognition
ECCV '02 Proceedings of the International ECCV 2002 Workshop Copenhagen on Biometric Authentication
Comparison of the nearest feature classifiers for face recognition
Machine Vision and Applications
Prototype selection for dissimilarity-based classifiers
Pattern Recognition
Rapid and brief communication: Center-based nearest neighbor classifier
Pattern Recognition
Weighted Sub-Gabor for face recognition
Pattern Recognition Letters
Statistical Comparisons of Classifiers over Multiple Data Sets
The Journal of Machine Learning Research
An automated palmprint recognition system
Image and Vision Computing
Using evolutionary algorithms as instance selection for data reduction in KDD: an experimental study
IEEE Transactions on Evolutionary Computation
Nearest neighbor pattern classification
IEEE Transactions on Information Theory
Face recognition using the nearest feature line method
IEEE Transactions on Neural Networks
Prototype reduction techniques: A comparison among different approaches
Expert Systems with Applications: An International Journal
Hi-index | 12.05 |
The problem addressed in this paper concerns the complexity reduction of the nearest feature plane classifier, so that it may be applied also in dataset where the training set contains many patterns. This classifier considers, to classify a test pattern, the subspaces created by each combination of three training patterns. The main problem is that in dataset of high cardinality this method is unfeasible. A genetic algorithm is here used for dividing the training patterns in several clusters which centroids are used to build the feature planes used to classify the test set. The performance improvement with respect to other nearest neighbor based classifiers is validated through experiments with several benchmark datasets.