Kernel Principal Component Analysis Method
Source code implementation of kernel-based principal component analysis algorithm for face recognition applications
MATLAB Code Implementation for Face Recognition Using PCA Algorithm
MATLAB source code for face recognition system implementing Principal Component Analysis (PCA) with feature extraction and pattern matching capabilities.
Face Recognition Using KL Transformation and Principal Component Analysis
A MATLAB-based face recognition mini-program leveraging KL Transform and Principal Component Analysis
ICA (Independent Component Analysis) Algorithm
The ICA algorithm and implementation program is developed through MATLAB simulation, featuring excellent performance with detailed code implementation for signal separation and component extraction.
Principal Component Analysis: Extracting Key Features for Signal Reconstruction
Comprehensive Introduction to Principal Component Analysis (PCA) - Methods for Extracting Dominant Features and Reconstructing Original Signals with Code Implementation Insights