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ICIP
2005
IEEE
13 years 10 months ago
Bayesian blind source separation for brain imaging
This paper deals with the problem of blind source separation in fMRI data analysis. Our main contribution is to present a maximum likelihood based method to blindly separate the b...
Hicham Snoussi, Vince D. Calhoun
EUROCAST
2005
Springer
104views Hardware» more  EUROCAST 2005»
13 years 10 months ago
A Mathematical Formalism for the Evaluation of C-Space for Redundant Robots
Abstract. This paper presents a new general method for obstacle representation in the configuration space (C-space) for redundant robots. The method is based on the analytical dec...
Roberto Therón, Vidal Moreno, Belén ...
ATAL
2011
Springer
12 years 4 months ago
Information-driven interaction-oriented programming: BSPL, the blindingly simple protocol language
We present a novel approach to interaction-oriented programming based on declaratively representing communication protocols. Our approach exhibits the following distinguishing fea...
Munindar P. Singh
ICIP
2009
IEEE
14 years 5 months ago
Sparsity And Morphological Diversity For Hyperspectral Data Analysis
Recently morphological diversity and sparsity have emerged as new and effective sources of diversity for Blind Source Separation. Based on these new concepts, novel methods such a...
ICASSP
2011
IEEE
12 years 8 months ago
Degenerate Unmixing Estimation Technique using the Constant Q Transform
The Degenerate Unmixing Estimation Technique (DUET) is a Blind Source Separation (BSS) algorithm for stereo audio. DUET depends on an amplitude-phase 2d histogram built from the d...
Zafar Rafii, Bryan Pardo