|
Volumn , Issue , 2007, Pages 93-98
|
Bayesian image restoration based on variatonal inference and a product of student-t priors
|
Author keywords
[No Author keywords available]
|
Indexed keywords
ARTIFICIAL INTELLIGENCE;
CANNING;
COLLEGE BUILDINGS;
CONVOLUTION;
IMAGE RECONSTRUCTION;
INFERENCE ENGINES;
LEARNING SYSTEMS;
REPAIR;
RESTORATION;
ROBOT LEARNING;
SIGNAL PROCESSING;
STUDENTS;
VIDEO STREAMING;
BAYESIAN;
BAYESIAN FRAMEWORKS;
BAYESIAN INFERENCES;
CLOSED FORM;
IEEE SIGNAL PROCESSING SOCIETY;
IMAGE RESTORATION;
IMAGE RESTORATION PROBLEM;
MACHINE-LEARNING;
MULTIPLE CONSTRAINTS;
NUMERICAL EXPERIMENTS;
BAYESIAN NETWORKS;
|
EID: 48149090042
PISSN: None
EISSN: None
Source Type: Conference Proceeding
DOI: 10.1109/MLSP.2007.4414288 Document Type: Conference Paper |
Times cited : (5)
|
References (10)
|