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» Bayesian blind source separation for brain imaging
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ICIP
2007
IEEE
14 years 9 months ago
Blind Audiovisual Source Separation using Sparse Representations
In this work we present a method to jointly separate active audio and visual structures on a given mixture. Blind Audiovisual Source Separation is achieved exploiting the coherenc...
Anna Llagostera Casanovas, Gianluca Monaci, Pierre...
ICA
2004
Springer
14 years 27 days ago
Second-Order Blind Source Separation Based on Multi-dimensional Autocovariances
SOBI is a blind source separation algorithm based on time decorrelation. It uses multiple time autocovariance matrices, and performs joint diagonalization thus being more robust th...
Fabian J. Theis, Anke Meyer-Bäse, Elmar Wolfg...
TSP
2008
166views more  TSP 2008»
13 years 7 months ago
A Convex Analysis Framework for Blind Separation of Non-Negative Sources
This paper presents a new framework for blind source separation (BSS) of non-negative source signals. The proposed framework, referred herein to as convex analysis of mixtures of ...
Tsung-Han Chan, Wing-Kin Ma, Chong-Yung Chi, Yue W...
ESANN
2006
13 years 9 months ago
Hierarchical markovian models for joint classification, segmentation and data reduction of hyperspectral images
Spectral classification, segmentation and data reduction are the three main problems in hyperspectral image analysis. In this paper we propose a Bayesian estimation approach which ...
Nadia Bali, Ali Mohammad-Djafari, Adel Mohammadpou...
TIP
2008
128views more  TIP 2008»
13 years 7 months ago
Blind Separation of Superimposed Shifted Images Using Parameterized Joint Diagonalization
We consider the blind separation of source images from linear mixtures thereof, involving different relative spatial shifts of the sources in each mixture. Such mixtures can be cau...
E. Be'ery, Arie Yeredor