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ICASSP
2011
IEEE
14 years 11 months ago
Supervised nonlinear spectral unmixing using a polynomial post nonlinear model for hyperspectral imagery
This paper studies a hierarchical Bayesian model for nonlinear hyperspectral image unmixing. The proposed model assumes that the pixel reflectances are polynomial functions of li...
Yoann Altmann, Abderrahim Halimi, Nicolas Dobigeon...
ISBI
2008
IEEE
16 years 8 months ago
Estimation of cortical multivariate autoregressive models for EEG/MEG using an expectation-maximization algorithm
A new method for estimating multivariate autoregressive (MVAR) models of cortical connectivity from surface EEG or MEG measurements is presented. Conventional approaches to this p...
Bing Leung, Patrick Cheung, Barry D. Van Veen
SAC
2010
ACM
15 years 5 months ago
Optimal linear projections for enhancing desired data statistics
Problems involving high-dimensional data, such as pattern recognition, image analysis, and gene clustering, often require a preliminary step of dimension reduction before or durin...
Evgenia Rubinshtein, Anuj Srivastava
DILS
2005
Springer
16 years 23 days ago
Hybrid Integration of Molecular-Biological Annotation Data
: We present a new approach to integrate annotation data from public sources for the expression analysis of genes and proteins. Expression data is materialized in a data warehouse ...
Toralf Kirsten, Hong Hai Do, Christine Körner...
BMCBI
2005
163views more  BMCBI 2005»
15 years 7 months ago
CoaSim: A flexible environment for simulating genetic data under coalescent models
Background: Coalescent simulations are playing a large role in interpreting large scale intraspecific sequence or polymorphism surveys and for planning and evaluating association ...
Thomas Mailund, Mikkel H. Schierup, Christian N. S...