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» Representing Process Variation with a Process Family
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ICASSP
2009
IEEE
15 years 6 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...
ICASSP
2011
IEEE
14 years 3 months ago
Multiple instance tracking based on hierarchical maximizing bag's margin boosting
In online tracking, the tracker evolves to reflect variations in object appearance and surroundings. This updating process is formulated as a supervised learning problem, thus a ...
Chunxiao Liu, Guijin Wang, Xinggang Lin, Bobo Zeng
ICASSP
2011
IEEE
14 years 3 months ago
Infinite-state spectrum model for music signal analysis
This paper presents a nonparametric Bayesian extension of nonnegative matrix factorization (NMF) for music signal analysis. Instrument sounds often exhibit non-stationary spectral...
Masahiro Nakano, Jonathan Le Roux, Hirokazu Kameok...
TIT
2002
65views more  TIT 2002»
14 years 11 months ago
On the importance of combining wavelet-based nonlinear approximation with coding strategies
This paper provides a mathematical analysis of transform compression in its relationship to linear and nonlinear approximation theory. Contrasting linear and nonlinear approximatio...
Albert Cohen, Ingrid Daubechies, Onur G. Guleryuz,...
NJC
2006
119views more  NJC 2006»
14 years 11 months ago
A Model-Driven Approach to Variability Management in Product-Line Engineering
Object-oriented frameworks play an essential role in the implementation of product-line architectures (PLAs) for product families. However, recent case studies reveal that deriving...
André L. Santos, Kai Koskimies, Antó...