Feature Extraction Based on the Non-Negative Matrix Factorization of Convolutional Neural Networks for Monitoring Domestic Activity With Acoustic Signals.
Seokjin LeeHee-Suk PangPublished in: IEEE Access (2020)
Keyphrases
- negative matrix factorization
- convolutional neural networks
- acoustic signals
- feature extraction
- principal component analysis
- acoustic signal
- nonnegative matrix factorization
- matrix factorization
- document clustering
- sparse representation
- convolutional network
- constrained least squares
- feature space
- image classification
- face recognition
- feature selection
- feature vectors
- image processing
- latent semantic space
- data mining
- spectral clustering
- image representation
- dimensionality reduction
- pairwise
- digital libraries
- computer vision
- information retrieval