Data Dimensionality Reduction Toolbox
Data Dimensionality Reduction Toolbox featuring classical algorithms including PCA, LLE, MDS, LDA with implementation details and parameter customization
Face Recognition Using PCA (Principal Component Analysis) with MATLAB Implementation
A MATLAB program for face recognition using PCA (Principal Component Analysis), achieving high recognition success rates through feature dimensionality reduction and eigenface computation techniques.
PCA and Fisher Face Recognition Implementation
Complete PCA and Fisher face recognition code with detailed comments, ready for immediate implementation and customization.
PCA MATLAB Source Code
PCA MATLAB source code with clear program structure, featuring modular design for covariance matrix computation, eigenvalue decomposition, and principal component projection - a valuable resource for machine learning implementations.
Complete PCA and KPCA Implementation Programs for Face Recognition
Complete implementation programs for PCA (Principal Component Analysis) and KPCA (Kernel Principal Component Analysis), highly valuable for face recognition research with practical code examples and feature extraction methodologies
Multiple Approaches for Face Detection
Various methods exist for face detection, with KL being one of the more effective techniques. This code primarily utilizes PCA (Principal Component Analysis) for face detection, capable of identifying face size, position, quantity, and scale variations.
PCA Face Recognition and Theoretical Foundations
PCA Face Recognition and Theoretical Framework (Updated version of Appendix_C_PCA_.rar with included MATLAB source code demonstrating practical implementation)
PCA Face Recognition Programs and Fundamental Resources
PCA face recognition programs and essential materials. The programs are functional and have been personally tested by me, providing reliable code implementations for face recognition systems.
Face Recognition using Neural Networks, Linear Auto-Associative Memory, and PCA
A face recognition program developed based on neural networks, Linear Auto-Associative memory, and PCA (Principal Component Analysis) with enhanced algorithm implementation details.
PCA Facial Recognition Using MATLAB: Implementation and Image Processing Techniques
Implementation of PCA-based facial recognition in MATLAB, including solutions for handling large image file uploads and processing challenges.