Fisher discrimination sparse learning based on graph embedding for image classification.
Jiaxue GaoXiuhong ChenPublished in: ICNC-FSKD (2016)
Keyphrases
- sparse learning
- graph embedding
- image classification
- dictionary learning
- sparse coding
- sparse representation
- subspace learning
- image representation
- elastic net
- visual words
- dimensionality reduction
- bag of words
- multi task
- feature extraction
- semi supervised
- image features
- discriminant analysis
- low dimensional
- data representation
- feature selection
- multi label
- image patches
- generative model
- neural network
- machine learning algorithms
- expectation maximization
- graphical models
- principal component analysis
- probabilistic model
- object recognition