A fast Bayesian approach to discrete object detection in astronomical data sets - PowellSnakes i

Monthly Notices of the Royal Astronomical Society

Volumn 393, Issue 3, 2009, Pages 681-702

  Carvalho, Pedro ^a   Rocha, Graça ^b,c   Hobson, M P ^a  

^a UNIVERSITY OF CAMBRIDGE   (United Kingdom)

^b CALIFORNIA INSTITUTE OF TECHNOLOGY   (United States)

^c CALIFORNIA INSTITUTE OF TECHNOLOGY   (United States)

Author keywords

Cosmic microwave background; Cosmology: observations; Methods: data analysis

Indexed keywords

APPROXIMATION ALGORITHMS; COSMOLOGY; COVARIANCE MATRIX; MARKOV PROCESSES; MONTE CARLO METHODS; OBJECT DETECTION;

ASTRONOMICAL DATA; BAYESIAN APPROACHES; COSMIC MICROWAVES BACKGROUND; COSMOLOGY OBSERVATIONS; DATA SET; DISCRETE OBJECTS; FOURIER SPACE; GAUSSIAN APPROXIMATIONS; METHODS. DATA ANALYSIS; SPEED UP;

BAYESIAN NETWORKS;

EID: 60349085773     PISSN: 00358711     EISSN: 13652966     Source Type: Journal    
DOI: 10.1111/j.1365-2966.2008.14016.x     Document Type: Article

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