Examination of the Relationship between Feature Extraction by Kernels and CNN Performance.
Sora TogawaKenya Jin'noPublished in: ISCAS (2024)
Keyphrases
- feature extraction
- feature space
- cellular neural networks
- kernel function
- kernel methods
- preprocessing
- image classification
- image processing
- kernel principal component analysis
- frequency domain
- feature vectors
- pattern classification
- extracted features
- pattern recognition
- discriminant analysis
- convolutional neural network
- gaussian processes
- dimension reduction
- face recognition
- kernel fisher discriminant analysis
- feature extraction and classification
- support vector machine svm
- texture features
- feature set
- support vector
- linear combination
- texture classification
- principal component analysis
- reproducing kernel hilbert space
- kernel learning
- linear feature extraction
- image preprocessing
- image feature extraction
- feature selection
- data sets
- computer vision
- gaussian kernels
- positive definite
- gaussian kernel
- wavelet transform
- texture analysis