One essential issue of document clustering is to estimate the appropriate number of clusters for a document collection to which documents should be partitioned. In this paper, we ...
In this paper, we propose a novel method for rapid feature space Maximum Likelihood Linear Regression (FMLLR) speaker adaptation based on bilinear models. When the amount of adapt...
This paper describes a simple method for significantly improving Tandem features used to train acoustic models for large-vocabulary speech recognition. The linear activations at ...
Software product line engineering has emerged as an approach to developing software which targets a given domain. However, the processes involved in developing a software product l...
The automated analysis of Feature Models (FMs) focuses on the usage of different logic paradigms and solvers to implement a number of analysis operations on FMs. The implementatio...
Sergio Segura, David Benavides, Antonio Ruiz Cort&...