High level feature extraction for the self-taught learning algorithm.
Konstantin MarkovTomoko MatsuiPublished in: EURASIP J. Audio Speech Music. Process. (2013)
Keyphrases
- feature extraction
- learning algorithm
- high level
- low level
- machine learning algorithms
- feature selection
- face recognition
- learning scheme
- higher level
- preprocessing
- pattern classification
- wavelet transform
- programming language
- image processing
- machine learning
- learning rate
- active learning
- feature vectors
- feature space
- pattern recognition
- training data
- extracted features
- feature extractors
- linear feature extraction
- defect detection
- feature representation
- feature fusion
- palmprint
- learning models
- low level features
- texture analysis
- dimension reduction
- reinforcement learning
- texture features
- semantic information
- frequency domain
- labeled data
- discriminant analysis
- learning process
- supervised learning
- semi supervised
- source code
- neural network
- image preprocessing
- high dimensional
- sample complexity
- dimensionality reduction
- gabor filters
- texture classification
- learning tasks
- learning problems