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» Simplifying mixture models through function approximation
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JAIR
1998
198views more  JAIR 1998»
13 years 7 months ago
Probabilistic Inference from Arbitrary Uncertainty using Mixtures of Factorized Generalized Gaussians
This paper presents a general and efficient framework for probabilistic inference and learning from arbitrary uncertain information. It exploits the calculation properties of fini...
Alberto Ruiz, Pedro E. López-de-Teruel, M. ...
TMI
2010
175views more  TMI 2010»
13 years 2 months ago
Spatially Adaptive Mixture Modeling for Analysis of fMRI Time Series
Within-subject analysis in fMRI essentially addresses two problems, the detection of brain regions eliciting evoked activity and the estimation of the underlying dynamics. In [1, 2...
Thomas Vincent, Laurent Risser, Philippe Ciuciu
GEOINFO
2003
13 years 9 months ago
A Strategy for the Interpolation of Surfaces through the Use of Basis Functions
For the construction of digital terrain models based on surface interpolation, it is defined a bivariate function ¡£¢¥¤§¦©¨ that interpolates a finite set of  sample ...
Edson Ricardo de Andrade Silva, Creto Augusto Vida...
ISMIR
2005
Springer
189views Music» more  ISMIR 2005»
14 years 1 months ago
Instrument Identification in Polyphonic Music: Feature Weighting with Mixed Sounds, Pitch-Dependent Timbre Modeling, and Use of
This paper addresses the problem of identifying musical instruments in polyphonic music. Musical instrument identification (MII) is an improtant task in music information retriev...
Tetsuro Kitahara, Masataka Goto, Kazunori Komatani...
IMAGING
2003
13 years 9 months ago
Influence of Spectral Sensitivity Functions on Color Demosaicing
Color images acquired through single chip digital cameras using a color filter array (CFA) contain a mixture of luminance and opponent chromatic information that share their repre...
David Alleysson, Sabine Süsstrunk, Joanna Mar...