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Python Implementation of LPG-PCA algorithm [1] and an extension to 3D images. K : the length of variable block (central block) which models a pixel and its nearest neighbors L : the length of training ...

The following is a summary of “Computer-aided diagnosis based on 3D deep convolutional neural network system using novel 3D magnetic resonance imaging sequences for high-grade prostate cancer,” ...

Kernel principal component analysis (PCA) is proposed as a nonlinear technique for dimensionality reduction. The basic idea is to map the input space into a feature space via nonlinear mapping and ...

An approach of 3D face recognition by using of facial surface classification image and PCA is presented. In the step of pre-processing, the scattered 3D points of a facial surface are normalized by ...