Non-linear dimensionality reduction techniques for unsupervised feature extraction.
Steve De BackerAntoine NaudPaul ScheundersPublished in: Pattern Recognit. Lett. (1998)
Keyphrases
- feature extraction
- manifold learning
- discriminant projection
- semi supervised
- dimensionality reduction
- unsupervised learning
- image classification
- wavelet transform
- supervised learning
- feature space
- extracted features
- discriminant analysis
- gabor filters
- feature vectors
- linear feature extraction
- preprocessing
- unsupervised manner
- pattern classification
- texture analysis
- dimension reduction
- principal component analysis
- face recognition
- high dimensional
- data driven
- feature selection
- neural network
- face images
- texture classification
- image preprocessing
- feature extraction and classification
- pattern recognition
- machine learning
- feature representation
- learning algorithm
- frequency domain
- computer vision
- training set