Supervised and Unsupervised Pattern Recognition: Feature Extraction and Computational Intelligence [Book Review].
Ke ChenV. KvasnickaP. C. KanenSimon HaykinPublished in: IEEE Trans. Neural Networks (2001)
Keyphrases
- feature extraction
- computational intelligence
- pattern recognition
- discriminant projection
- unsupervised learning
- dimensionality reduction
- unsupervised methods
- semi supervised
- supervised learning
- machine learning
- fuzzy sets
- supervised classification
- pattern analysis
- pattern classification
- supervised methods
- image processing
- feature selection
- word sense induction
- fuzzy logic
- evolutionary computation
- intelligent systems
- neural computation
- supervised training
- discriminant analysis
- unsupervised feature selection
- weakly supervised
- neural network
- support vector machine svm
- manifold learning
- image classification
- artificial neural networks
- feature vectors
- frequency domain
- dimension reduction
- feature space
- preprocessing
- learning algorithm
- linear discriminant analysis
- signal processing
- artificial intelligence
- face recognition
- engineering systems
- image analysis
- field of pattern recognition
- wavelet transform
- feature set
- feature representation
- fuzzy systems
- power system
- feature fusion
- feature extraction and classification
- human recognition
- pairwise
- texture features
- pattern recognition problems
- high dimensional
- rough sets
- pattern representation
- computational intelligence methods
- text classification