PCA Supervised and Unsupervised Classifiers in Signal Processing.
Catalina CocianuLuminita StatePanayiotis M. VlamosDoru ConstantinCorina SararuPublished in: PRIS (2009)
Keyphrases
- signal processing
- supervised classification
- discriminant projection
- supervised training
- unsupervised learning
- semi supervised
- supervised methods
- supervised learning
- principal component analysis
- unsupervised methods
- independent component analysis
- image processing
- dimensionality reduction
- feature selection
- svm classifier
- principal components analysis
- labeled training data
- support vector
- unsupervised feature selection
- training examples
- feature extraction
- labeled data
- pattern recognition
- training data
- subspace methods
- classification method
- weakly supervised
- fourier transform
- principal components
- nearest neighbor classifier
- labeled and unlabeled data
- computer vision
- linear classifiers
- principle component analysis
- supervised classifiers
- semi supervised learning
- face recognition
- word sense induction
- learning algorithm
- covariance matrix
- naive bayes
- dimensionality reduction methods
- randomized trees
- feature set
- neural classifier
- supervised and semi supervised
- linear discriminant analysis
- feature subspace
- classification models
- discriminant analysis
- training samples
- active learning
- decision trees
- feature reduction
- unlabeled data
- low dimensional
- manually labeled training data