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» Bayesian blind source separation for brain imaging
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ICIP
2006
IEEE
14 years 6 months ago
Joint Dimensionality Reduction, Classification and Segmentation of Hyperspectral Images
Dimensionality reduction, spectral classification and segmentation are the three main problems in hyperspectral image analysis. In this paper we propose a Bayesian estimation appr...
Nadia Bali, Ali Mohammad-Djafari, Adel Mohammadpou...
IGARSS
2010
13 years 2 months ago
PolSAR images characterization through Blind Sources Separation techniques
Since the backscattered signal in PolSAR images is intrinsically linked with the physical characteristics of the objects in the image, valuable information may be extracted theref...
Felix Totir, Gabriel Vasile, Lionel Bombrun, Miche...
ESANN
2006
13 years 6 months ago
Semi-Blind Approaches for Source Separation and Independent component Analysis
Abstract. This paper is a survey of semi-blind source separation approaches. Since Gaussian iid signals are not separable, simplest priors suggest to assume non Gaussian iid signal...
Massoud Babaie-Zadeh, Christian Jutten
ICA
2004
Springer
13 years 10 months ago
An Iterative Blind Source Separation Method for Convolutive Mixtures of Images
The paper deals with blind source separation of images. The model which is adopted here is a convolutive multi-dimensional one. Recent results about polynomial matrices in several ...
Marc Castella, Jean-Christophe Pesquet
IJCV
2010
169views more  IJCV 2010»
13 years 3 months ago
Rigid Structure from Motion from a Blind Source Separation Perspective
We present an information theoretic approach to define the problem of structure from motion (SfM) as a blind source separation one. Given that for almost all practical joint densi...
Jeff Fortuna, Aleix M. Martínez