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Bayesian nonnegative matrix factorization with dirichlet process mixtures
Caoyuan Li
, Hong Bo Xie
*
, Kerrie Mengersen
, Xuhui Fan
, Richard Yi Da Xu
, Scott A. Sisson
, Sabine Van Huffel
*
Corresponding author for this work
Department of Mathematics
Research output
:
Contribution to journal
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Journal article
›
peer-review
14
Citations (Scopus)
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Keyphrases
Bayesian Framework
33%
Bayesian Nonnegative Matrix Factorization
100%
Bayesian Nonparametric Model
33%
Blind Source Separation
33%
Complex Noise
66%
Dirichlet Process
33%
Dirichlet Process Mixture
100%
Discriminative Features
33%
Electroencephalogram Classification
33%
Electromyography Signal
33%
Gaussian Component
33%
Gaussian Mixture Model
33%
Gaussian Noise
33%
Hierarchical Dirichlet Process
33%
Inference Algorithms
33%
Machine Learning
33%
Matrix Factorization Model
33%
Mean-field Variational Inference
33%
Mixed Noise
33%
Motor Imagery
33%
Muscle Synergy
33%
Noise Distribution
33%
Non-negative Latent Factor
33%
Non-negative Matrix Factorization
100%
Nonparametric Bayesian
33%
Signal Machine
33%
Signal Processing
33%
Sparse Noise
33%
State-of-the-art Techniques
33%
Synthetic Data
33%
Computer Science
Bayesian Framework
25%
Bayesian Model
25%
Blind Signal Separation
25%
Dirichlet Process
100%
Discriminative Feature
25%
Electroencephalogram
25%
Experimental Result
25%
Gaussian Component
25%
Gaussian Mixture Model
25%
Learning System
25%
Machine Learning
25%
Matrix Factorization Model
25%
nonnegative matrix factorization
100%
Synthetic Data
25%