Efficient Bayesian inference for harmonic models via adaptive posterior factorization

Neurocomputing

Volumn 72, Issue 1-3, 2008, Pages 79-87

  Vincent, Emmanuel ^a   Plumbley, Mark D ^b  

^a CAMPUS DE BEAULIEU   (France)

^b QUEEN MARY UNIVERSITY OF LONDON   (United Kingdom)

Author keywords

Adaptive factorization; Bayesian inference; Harmonic model; Posterior dependence

Indexed keywords

AUDIO ACOUSTICS; BAYESIAN NETWORKS; HARMONIC ANALYSIS; IMAGE SEGMENTATION; INFERENCE ENGINES; LEARNING SYSTEMS; SIGNAL ANALYSIS; SIGNAL PROCESSING;

ADAPTIVE FACTORIZATION; APPROXIMATE FACTORIZATIONS; AUDIO SIGNAL ANALYSES; BAYESIAN; BAYESIAN INFERENCE; BAYESIAN INFERENCES; HARMONIC MODEL; HARMONIC MODELS; INFERENCE METHODS; MODEL PARAMETERS; PITCH ESTIMATIONS; POSTE-RIORS; POSTERIOR DEPENDENCE; PRIOR DISTRIBUTIONS; REALISTIC DATUMS; SINUSOIDAL MODELS;

FACTORIZATION;

ARTICLE; AUDITORY DISCRIMINATION; BAYES THEOREM; CONTROLLED STUDY; CORRELATION ANALYSIS; KERNEL METHOD; MATHEMATICAL ANALYSIS; MATHEMATICAL MODEL; MONTE CARLO METHOD; PRIORITY JOURNAL; PROBABILITY; SIGNAL PROCESSING;

EID: 55949136407     PISSN: 09252312     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.neucom.2007.12.050     Document Type: Article

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