Feature Extraction and Learning Vector Quantization for Data Structures.
Christoph GollerMarco GoriPublished in: IIA/SOCO (1999)
Keyphrases
- learning vector quantization
- feature extraction
- data structure
- bankruptcy prediction
- self organizing maps
- neural network
- face recognition
- preprocessing
- feature vectors
- dimension reduction
- efficient data structures
- extracted features
- texture classification
- support vector machine svm
- principal component analysis
- image classification
- image processing
- frequency domain
- feature fusion
- data types
- discriminant analysis
- iris recognition
- suffix tree
- feature space
- gabor filters
- pattern classification
- wavelet transform
- multidimensional data
- data sets
- probabilistic model
- feature representation
- feature extraction and classification
- texture analysis
- texture features
- index structure
- nearest neighbor
- dimensionality reduction
- manifold learning
- inverted index
- linear discriminant analysis
- image segmentation
- semi supervised
- feature extractor
- feature extractors