Perceptron nonlinear blind source separation for feature extraction and image classification.
Mohamed Rached BoussemaMohamed Saber NaceurHela ElmannaiPublished in: IPTA (2012)
Keyphrases
- feature extraction
- image classification
- blind source separation
- independent components analysis
- source separation
- sparse representation
- component analysis
- independent component analysis
- non stationary
- blind separation
- principal component analysis
- feature vectors
- bag of words
- neural network
- discriminant analysis
- image representation
- dimension reduction
- adaptive particle swarm optimization
- negative matrix factorization
- image processing
- face recognition
- wavelet transform
- independent components
- pattern recognition
- support vector machine svm
- feature set
- dimensionality reduction
- frequency domain
- feature selection
- eigenvalue decomposition
- algebraic equations
- feature space
- speech signal
- feature representation
- texture classification
- denoising
- texture features
- learning algorithm
- support vector
- factor analysis
- gabor filters
- image features