Sparse representation optimization of image Gaussian mixture features based on a convolutional neural network.
Fangfang YeTiaojuan RenZhangquan WangTing WangPublished in: Neural Comput. Appl. (2022)
Keyphrases
- sparse representation
- gaussian mixture
- test images
- image classification
- image features
- image representation
- convolutional neural network
- joint optimization
- dictionary learning
- sparse coding
- probability density function
- input image
- image data
- sparse coefficients
- multiscale
- image segmentation
- expectation maximization
- gaussian mixture model
- image regions
- feature space
- em algorithm
- image patches
- face recognition
- mixture model
- feature vectors
- covariance matrix
- sparse signal representation
- neural network
- natural images
- signal processing
- supervised learning
- ground truth
- computer vision