Regularized Pre-image Estimation for Kernel PCA De-noising - Input Space Regularization and Sparse Reconstruction.
Trine Julie AbrahamsenLars Kai HansenPublished in: J. Signal Process. Syst. (2011)
Keyphrases
- input space
- kernel pca
- sparse reconstruction
- input data
- kernel matrix
- feature space
- image data
- input image
- dimensionality reduction
- sparse representation
- kernel function
- image classification
- image features
- denoising
- multiscale
- data points
- image representation
- training set
- kernel methods
- high dimensional
- high dimensional data
- class labels
- principal component analysis
- compressive sensing
- image segmentation
- computer vision
- feature points
- k nearest neighbor
- high resolution
- knn
- machine learning
- face recognition
- support vector
- spectral clustering