Gaussian Mixture Model Based Semi-supervised Sparse Representation for Face Recognition.
Xinxin ShanYing WenPublished in: MMM (1) (2021)
Keyphrases
- sparse representation
- gaussian mixture
- face recognition
- semi supervised
- subspace learning
- image patches
- dictionary learning
- sparse coding
- em algorithm
- gaussian mixture model
- covariance matrix
- closed form
- probability density function
- face images
- mixture model
- expectation maximization
- image classification
- image representation
- active learning
- principal component analysis
- compressive sensing
- feature extraction
- dimensionality reduction
- high dimensional data
- signal processing
- supervised learning
- robust face recognition
- computer vision
- test images
- low resolution
- gaussian process
- unsupervised learning
- facial expressions
- ground truth
- probabilistic model
- data sets