MATLAB Implementation of SIFT-PCA for Efficient Feature Extraction and Dimensionality Reduction
MATLAB code combining SIFT feature extraction with PCA dimensionality reduction for optimized image processing
Neural Networks, Linear Auto-Associative Memory, and PCA for Face Recognition
Neural Networks, Linear Auto-Associative Memory, and PCA for Face Recognition
Handwritten Digit Recognition Using Principal Component Analysis (PCA)
Implementation of handwritten digit recognition system using Principal Component Analysis with code-level insights on preprocessing, feature extraction, and classification algorithms
MATLAB Code Implementation for Feature Dimensionality Reduction
MATLAB Implementation of Feature Dimensionality Reduction Algorithm