One-Pass-Throw-Away Learning Algorithm Based on Hybridization of LDA and PCA.
Mongkhon ThakongSuphakant PhimoltaresSaichon JaiyenChidchanok LursinsapPublished in: ICISA (2013)
Keyphrases
- principal component analysis
- linear discriminant analysis
- learning algorithm
- linear discriminate analysis
- face recognition
- dimensionality reduction
- discriminant analysis
- principal components analysis
- principle component analysis
- pca lda
- subspace methods
- dimension reduction
- feature extraction
- principal components
- low dimensional
- independent component analysis
- training data
- latent dirichlet allocation
- high dimensional data
- machine learning algorithms
- active learning
- feature space
- kernel principal component analysis
- gabor features
- small sample size
- topic models
- learning scheme
- subspace analysis
- kernel pca
- covariance matrix
- dna computing
- training samples
- generative model
- face images
- learning process
- training procedure
- reinforcement learning
- null space
- support vector machine svm
- discriminant information
- data sets
- random projections
- face databases
- scatter matrices
- back propagation
- training examples
- machine learning
- discriminative subspace
- orl face
- dimensionality reduction methods
- topic modeling
- singular value decomposition
- em algorithm
- supervised learning
- facial expressions
- pattern recognition
- support vector