Review of Spiking Neural Network Architecture for Feature Extraction and Dimensionality Reduction.
Soni ChaturvediAleefia A. KhurshidPublished in: ICETET (2011)
Keyphrases
- feature extraction
- dimensionality reduction
- principal component analysis
- linear discriminant analysis
- feature space
- manifold learning
- low dimensional
- feature selection
- random projections
- bio inspired
- high dimensionality
- preprocessing step
- feed forward
- data representation
- feature vectors
- discriminant analysis
- preprocessing
- pattern recognition
- dimensionality reduction methods
- discriminant projection
- high dimensional data
- face recognition
- pattern classification
- frequency domain
- high dimensional
- image processing
- spiking neural networks
- nonlinear dimensionality reduction
- neural network
- feature representation
- input space
- image classification
- principal components
- lower dimensional
- principal components analysis
- hebbian learning
- linear dimensionality reduction
- linear feature extraction
- biologically inspired
- iris recognition
- data points
- support vector machine svm
- spike trains
- structure preserving
- data sets