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ICCV
2009
IEEE
13 years 5 months ago
Component analysis approach to estimation of tissue intensity distributions of 3D images
Many segmentation problems in medical imaging rely on accurate modeling and estimation of tissue intensity probability density functions. Gaussian mixture modeling, currently the ...
Arridhana Ciptadi, Cheng Chen, Vitali Zagorodnov
ISCAS
2003
IEEE
99views Hardware» more  ISCAS 2003»
14 years 25 days ago
New hyperbolic source density models for blind source recovery score functions
We present two new hyperbolic source probability models to effectively represent sub-gaussian and super-gaussian families of sources for dynamic and convolutive Blind Source Recov...
Khurram Waheed, Fathi M. Salem
GECCO
2004
Springer
131views Optimization» more  GECCO 2004»
14 years 28 days ago
PolyEDA: Combining Estimation of Distribution Algorithms and Linear Inequality Constraints
Estimation of distribution algorithms (EDAs) are population-based heuristic search methods that use probabilistic models of good solutions to guide their search. When applied to co...
Jörn Grahl, Franz Rothlauf
RECOMB
2010
Springer
14 years 2 months ago
Incremental Signaling Pathway Modeling by Data Integration
Constructing quantitative dynamic models of signaling pathways is an important task for computational systems biology. Pathway model construction is often an inherently incremental...
Geoffrey Koh, David Hsu, P. S. Thiagarajan
ICASSP
2011
IEEE
12 years 11 months ago
Robust underdetermined blind audio source separation of sparse signals in the time-frequency domain
We address the problem of blind source separation in the underdetermined and instantaneous mixture case. The proposed method is based on an algorithm developed by Aissa-El-Bey and...
Si-Mohamed Aziz Sbai, Abdeldjalil Aïssa-El-Be...