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NEAREST NEIGHBOR CLASSIFIERS WITH IMPROVED ACCURACY AND EFFICIENCY
(2017-12-12)
Nearest Neighbor algorithms are non-parametric algorithms that use distance measure
techniques for classification and regressions. This thesis uses the method of pruning to improve
accuracy and efficiency of a nearest ...
A supervised approach for training Gaussian Mixture Model classifiers
(2017-08-22)
A new method for training Gaussian Mixture Model (GMM) classifiers is presented. First, an objective function is defined in terms of the number of clusters, K, per class, the mean vectors, the inverse covariance matrices ...