Hyperparameter estimation of a variational model using a stochastic gradient method

Proceedings of SPIE - The International Society for Optical Engineering

Volumn 3459, Issue , 1998, Pages 349-356

  Zerubia, Josiane B ^a   Blanc Féraud, Laure ^b  

^a INRIA   (France)

^b UNIVERSITY OF NICE SOPHIA ANTIPOLIS   (France)

Author keywords

Hyperparameter estimation; Nonlinear estimation; Stochastic gradient; Variational method

Indexed keywords

BAYESIAN NETWORKS; BLOCK CODES; COMMUNICATION CHANNELS (INFORMATION THEORY); CONVERGENCE OF NUMERICAL METHODS; DIFFERENTIAL EQUATIONS; FUNCTIONS; GRADIENT METHODS; INFERENCE ENGINES; INVERSE PROBLEMS; MAXIMUM LIKELIHOOD; MODAL ANALYSIS; NONLINEAR ANALYSIS; OPTICAL TRANSFER FUNCTION; ORDINARY DIFFERENTIAL EQUATIONS; PARAMETER ESTIMATION; PHASE TRANSITIONS; PROBABILITY DENSITY FUNCTION; STOCHASTIC MODELS;

ADAPTIVE METHODS; DEBLURRING; DETERMINISTIC ALGORITHMS; FUNCTION MODELS; GIBBS DISTRIBUTIONS; GLOBAL CONVERGENCES; HYPER PARAMETERS; HYPERPARAMETER ESTIMATION; IMAGE DECONVOLUTION; INCOMPLETE DATUMS; NONLINEAR ESTIMATION; NONLINEAR PARAMETER ESTIMATIONS; NONLINEAR PARAMETERS; PAPER ADDRESSES; PARTITION FUNCTIONS; POINT SPREAD FUNCTIONS; POSTERIOR DISTRIBUTIONS; PRIOR DISTRIBUTIONS; QUALITATIVE STUDIES; REGULARIZATION TERMS; SCALING FACTORS; SPOT IMAGES; STOCHASTIC GRADIENT; STOCHASTIC GRADIENT ALGORITHMS; STOCHASTIC GRADIENT METHODS; SYNTHETIC AND REAL DATUMS; VARIATIONAL APPROACHES; VARIATIONAL METHOD; VARIATIONAL MODELS;

MAXIMUM LIKELIHOOD ESTIMATION;

EID: 2042492731     PISSN: 0277786X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1117/12.323814     Document Type: Conference Paper

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