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PAMI
2008
140views more  PAMI 2008»
15 years 4 months ago
Simplifying Mixture Models Using the Unscented Transform
Mixture of Gaussians (MoG) model is a useful tool in statistical learning. In many learning processes that are based on mixture models, computational requirements are very demandin...
Jacob Goldberger, Hayit Greenspan, Jeremie Dreyfus...
ICIP
2004
IEEE
16 years 6 months ago
Statistical transformations of frontal models for non-frontal face verification
In the framework of a face verification system using local features and a Gaussian Mixture Model based classifier, we address the problem of non-frontal face verification (when on...
Conrad Sanderson, Samy Bengio
TSP
2008
154views more  TSP 2008»
15 years 4 months ago
Algebraic Signal Processing Theory: 1-D Space
In our paper titled "Algebraic Signal Processing Theory: Foundation and 1-D Time" appearing in this issue of the IEEE TRANSACTIONS ON SIGNAL PROCESSING, we presented the ...
Markus Püschel, José M. F. Moura
ICASSP
2010
IEEE
15 years 4 months ago
Improved statistical models for SMT-based speaking style transformation
Automatic speech recognition (ASR) results contain not only ASR errors, but also disfluencies and colloquial expressions that must be corrected to create readable transcripts. We...
Graham Neubig, Yuya Akita, Shinsuke Mori, Tatsuya ...
CIBSE
2009
ACM
15 years 9 months ago
Product Derivation in a Model-Driven Software Product Line using Decision Models
We present a mechanism to derivate products of Software Product Lines (SPLs) using decision models. Our approach to create SPLs is based on Model Driven Engineering principles. It ...
Hugo Arboleda, Andrés Romero, Rubby Casalla...