Browsing Department of Electrical Engineering by Subject "Classifiers"

Now showing items 1-2 of 2

    • A supervised approach for training Gaussian Mixture Model classifiers 

      Gundecha, Vineet Dilip (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 ...

    • NEAREST NEIGHBOR CLASSIFIERS WITH IMPROVED ACCURACY AND EFFICIENCY 

      Bhattacharya, Sinchan; 0000-0002-6411-1207 (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 ...