From Convolutional Sparse Coding To *-NMF Factorization of Time-Frequency Coefficients.
Jean-Baptiste MalagnouxMatthieu KowalskiPublished in: ICASSP (2024)
Keyphrases
- sparse coding
- sparsity constraints
- basis vectors
- linear combination
- sparse representation
- negative matrix factorization
- reconstruction error
- dictionary learning
- matrix factorization
- low rank
- natural images
- nonnegative matrix factorization
- image classification
- signal processing
- data matrix
- generative model
- unsupervised learning
- image representation
- image patches
- sparse codes
- sparse coefficients
- basis functions
- high dimensional
- singular value decomposition
- wavelet packet
- visual words
- deep belief networks
- document clustering
- feature space
- wavelet transform
- multiscale
- recommender systems
- bayesian networks
- matrix completion
- missing data
- deep learning
- image processing
- denoising
- semi supervised
- feature vectors
- object recognition
- pattern recognition
- image segmentation