The problem of choosing a good parameter setting for a better generalization performance in a learning task is the so-called model selection. A nested uniform design (UD) methodol...
Chien-Ming Huang, Yuh-Jye Lee, Dennis K. J. Lin, S...
We have applied two state-of-the-art speech synthesis techniques (unit selection and HMM-based synthesis) to the synthesis of emotional speech. A series of carefully designed perc...
Roberto Barra-Chicote, Junichi Yamagishi, Simon Ki...
Data collections often have inconsistencies that arise due to a variety of reasons, and it is desirable to be able to identify and resolve them efficiently. Set similarity queries ...
Marios Hadjieleftheriou, Amit Chandel, Nick Koudas...
Modern techniques for distributed information retrieval use a set of documents sampled from each server, but these samples have been underutilised in server selection. We describe...
In order to provide a generic, applicationindependent and resource-efficient framework for server redundancy and session failover, the IETF RSerPool WG is currently standardizing ...