This paper deals with a real-life application of epilepsy classification, where three phases of
absence seizure, namely pre-seizure, seizure and seizure-free, are classified using real …

In this letter, we propose a discriminative modeling approach for the speaker verification
problem that uses polynomial kernel support vector machines (PK-SVMs). The proposed …

This paper presents a novel neural network having variable weights, which is able to
improve its learning and generalisation capabilities, to deal with classification problems. The …

In the thesis presented here, variations of two very prominent machine learning techniques,
the Neural Network (NN) and Support Vector Machine (SVM) are used in an attempt to solve …

In this paper we extend a variation of the trial-based SVM speaker verification work
proposed by Cumani et al to exploit multiple enrollment sessions. Specifically, Cumani …