Sparseness-based multichannel nonnegative matrix factorization for blind source separation.
Takuya HiguchiTakuya YoshiokaTomohiro NakataniPublished in: IWAENC (2016)
Keyphrases
- nonnegative matrix factorization
- blind source separation
- negative matrix factorization
- matrix factorization
- principal component analysis
- independent component analysis
- sparse representation
- document clustering
- single channel
- non stationary
- multi channel
- image classification
- least squares
- pattern recognition
- spectral clustering
- feature extraction
- feature space
- original data
- support vector
- factor analysis
- clustering algorithm
- computer vision
- neural network