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» Dirichlet process mixture models with multiple modalities
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ICASSP
2010
IEEE
14 years 9 months ago
Non-parallel training for many-to-many eigenvoice conversion
This paper presents a novel training method of an eigenvoice Gaussian mixture model (EV-GMM) effectively using non-parallel data sets for many-to-many eigenvoice conversion, which...
Yamato Ohtani, Tomoki Toda, Hiroshi Saruwatari, Ki...
LREC
2008
124views Education» more  LREC 2008»
14 years 11 months ago
Integrating Audio and Visual Information for Modelling Communicative Behaviours Perceived as Different
In human face-to-face interaction, participants can rely on a number of audio-visual information for interpreting interlocutors' communicative intentions, such information st...
Michelina Savino, Laura Scivetti, Mario Refice
TSP
2008
167views more  TSP 2008»
14 years 8 months ago
Multi-Task Learning for Analyzing and Sorting Large Databases of Sequential Data
A new hierarchical nonparametric Bayesian framework is proposed for the problem of multi-task learning (MTL) with sequential data. The models for multiple tasks, each characterize...
Kai Ni, John William Paisley, Lawrence Carin, Davi...
ADAPTIVE
2007
Springer
15 years 3 months ago
Data Mining for Web Personalization
Abstract. In this chapter we present an overview of Web personalization process viewed as an application of data mining requiring support for all the phases of a typical data minin...
Bamshad Mobasher
BMCBI
2007
219views more  BMCBI 2007»
14 years 9 months ago
MetaQTL: a package of new computational methods for the meta-analysis of QTL mapping experiments
Background: Integration of multiple results from Quantitative Trait Loci (QTL) studies is a key point to understand the genetic determinism of complex traits. Up to now many effor...
Jean-Baptiste Veyrieras, Bruno Goffinet, Alain Cha...