Multi-scale Kernel PCA and Its Application to Curvelet-Based Feature Extraction for Mammographic Mass Characterization.
Sami DhahbiWalid BarhoumiEzzeddine ZagroubaPublished in: IDA (2016)
Keyphrases
- kernel pca
- feature extraction
- multiscale
- kernel principal component analysis
- principal component analysis
- local binary pattern
- face recognition
- dimensionality reduction
- feature space
- linear discriminant analysis
- kernel methods
- laplacian eigenmaps
- rotation invariant
- wavelet transform
- image analysis
- image processing
- input space
- gabor wavelets
- denoising
- pattern recognition
- kernel function
- feature vectors
- discriminant analysis
- breast cancer
- kernel fisher discriminant analysis
- feature selection
- spectral clustering
- dimension reduction
- high dimensional data
- support vector machine svm
- texture analysis
- image classification
- image segmentation
- low dimensional
- support vector machine
- iris recognition
- high dimensional
- pairwise
- face images
- gabor filters
- extracted features
- kernel matrix
- knn
- data sets