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» Covariant Derivatives and Vision
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ICASSP
2011
IEEE
13 years 1 months ago
Structured precision modelling with Cholesky Basis Superposition for speech recognition
Structured precision modelling is an important approach to improve the intra-frame correlation modelling of the standard HMM, where Gaussian mixture model with diagonal covariance...
Lei Jia, Kai Yu, Bo Xu
ICASSP
2011
IEEE
13 years 1 months ago
Multichannel harmonic and percussive component separation by joint modeling of spatial and spectral continuity
This paper considers the blind separation of the harmonic and percussive components of multichannel music signals. We model the contribution of each source to all mixture channels...
Ngoc Q. K. Duong, Hideyuki Tachibana, Emmanuel Vin...
KES
2007
Springer
14 years 3 months ago
Vision Technologies for Intelligent Vehicles
This paper surveys the different technologies involved in the development of computer vision applications for Intelligent Vehicles derived from the 15 year experience of VisLab. S...
Massimo Bertozzi, Alberto Broggi, Luca Bombini, Cl...
ICPR
2006
IEEE
14 years 11 months ago
Domain Based LDA and QDA
We propose an alternative to probability density classifiers based on normal distributions LDA and QDA. Instead of estimating covariance matrices using the standard maximum likeli...
David M. J. Tax, Piotr Juszczak, Robert P. W. Duin...
DSSCV
2005
Springer
14 years 3 months ago
Deep Structure from a Geometric Point of View
The geometry of “empty” scale space is investigated. By virtue of the proposed geometric axioms the generating PDE, the linear isotropic heat equation, can be presented in cova...
Luc Florack