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ICASSP
2009
IEEE
15 years 9 months ago
A Bayesian approach to HMM-based speech synthesis
This paper proposes a new framework of speech synthesis based on the Bayesian approach. The Bayesian method is a statistical technique for estimating reliable predictive distribut...
Kei Hashimoto, Heiga Zen, Yoshihiko Nankaku, Takas...
ICDAR
2009
IEEE
15 years 9 months ago
A Probabilistic Framework for Soft Target Learning in Online Cursive Handwriting Recognition
To develop effective learning algorithms for online cursive word recognition is still a challenge research issue. In this paper, we propose a probabilistic framework to model the ...
Xiaoyuan Zhu, Yong Ge, Feng-Jun Guo, Li-Xin Zhen
ICPR
2010
IEEE
15 years 6 months ago
Probabilistic Clustering Using the Baum-Eagon Inequality
The paper introduces a framework for clustering data objects in a similarity-based context. The aim is to cluster objects into a given number of classes without imposing a hard pa...
Samuel Rota Bulo', Marcello Pelillo
ICONIP
2007
15 years 4 months ago
Natural Conjugate Gradient in Variational Inference
Variational methods for approximate inference in machine learning often adapt a parametric probability distribution to optimize a given objective function. This view is especially ...
Antti Honkela, Matti Tornio, Tapani Raiko, Juha Ka...
ICAI
2009
15 years 17 days ago
The Utility of Affect in the Selection of Actions and Goals Under Real-World Constraints
We present a novel affective goal selection mechanism for decision-making in agents with limited computational resources (e.g., such as robots operating under real-time constraint...
Paul W. Schermerhorn, Matthias Scheutz