An incremental dimensionality reduction method on discriminant information for pattern classification.
Xiaoqin HuZhixia YangLing JingPublished in: Pattern Recognit. Lett. (2009)
Keyphrases
- discriminant information
- pattern classification
- dimensionality reduction
- dimensionality reduction methods
- discriminant embedding
- feature extraction
- discriminant analysis
- principal component analysis
- pattern recognition
- linear discriminant analysis
- graph embedding
- face recognition
- high dimensional data
- feature space
- random projections
- subspace learning
- unsupervised learning
- feature selection
- high dimensional
- principal components analysis
- data points
- lower dimensional
- sparse representation
- manifold learning
- image classification
- principal components
- fisher criterion
- knn
- maximum margin
- data representation
- distance measure
- high dimensionality
- label information
- data sets
- small sample size
- locality preserving
- feature vectors
- computer vision
- machine learning