Semi-supervised learning (SSL), is classification where additional unlabeled data can be used to improve accuracy. Generative approaches are appealing in this situation, as a mode...
This work presents a new approach to discriminative speaker verification. Rather than estimating speaker models, or a model that discriminates between a speaker class and the cla...
A framework for performance analysis of parallel discrete event simulators is presented. The centerpiece of this framework is a platform-independent Workload Specification Langua...
Vijay Balakrishnan, Peter Frey, Nael B. Abu-Ghazal...
A software development process is conceptually an abstract form of model transformation, starting from an enduser model of requirements, through to a system model for which code c...
Emine G. Aydal, Richard F. Paige, Mark Utting, Jim...
The Fisher kernel is a generic framework which combines the benefits of generative and discriminative approaches to pattern classification. In this contribution, we propose to a...