Neural Discriminant Analysis For Fine-Grained Classification.
Mai Lan HaVolker BlanzPublished in: ICIP (2020)
Keyphrases
- fine grained
- discriminant analysis
- coarse grained
- discriminant functions
- feature extraction
- fisher linear discriminant analysis
- fisher criterion
- dimensionality reduction methods
- class separability
- face recognition
- discriminant subspace
- linear discriminant analysis
- access control
- kernel principal component analysis
- kernel discriminant analysis
- pattern recognition
- classification accuracy
- machine learning
- principal component analysis
- image classification
- support vector machine svm
- generalized linear
- databases
- classification method
- decision trees
- unsupervised learning
- text classification
- support vector
- data sets
- cluster analysis
- dimension reduction
- subspace learning
- kernel function
- model selection
- discriminant function
- co occurrence
- support vector machine
- fisher discriminant analysis
- learning algorithm