A Novel Feature Extractor Based on Wavelet and Kernel PCA for Spike Sorting Neural Signals.
Juntao LiuShengwei XuJi-Yang ZhouMixia WangNansen LinXinxia CaiPublished in: Brain Informatics and Health (2014)
Keyphrases
- kernel pca
- feature extractor
- spike trains
- feature extraction
- principal component analysis
- wavelet transform
- dimensionality reduction
- feature space
- kernel methods
- face recognition
- linear discriminant analysis
- feature vectors
- spectral clustering
- wavelet coefficients
- kernel function
- pattern recognition
- denoising
- recognition scheme
- image classification
- feature values
- kernel matrix
- input space
- texture descriptors
- multiscale
- model selection
- low dimensional
- texture features
- feature selection
- feature set
- face images
- texture analysis
- gabor filters
- supervised learning
- input image
- multiresolution
- training data
- image segmentation