principal component analysis

Image Denoising Using Quadtree-Based Nonlocal Means With Locally Adaptive Principal Component Analysis

GPU-based parallel kernel PCA feature extraction for hyperspectral images

The KPCA algorithm is widely used for feature extraction of hyperspectral images. One of the disadvantages of KPCA is that its sequential implementations have long run time due to their relatively large computational complexity. In this paper, a GPU …