Face Recognition on ORL Face Database Using KPCA Method
Implementation of KPCA (Kernel Principal Component Analysis) method for face recognition on the ORL face database with nearest neighbor classifier for classification.
Explore MATLAB source code curated for "最近邻分类器" with clean implementations, documentation, and examples.
Implementation of KPCA (Kernel Principal Component Analysis) method for face recognition on the ORL face database with nearest neighbor classifier for classification.
MATLAB implementation of the 2DLDA algorithm for face recognition, utilizing nearest neighbor classifier for identification with feature extraction and dimensionality reduction capabilities.
MATLAB implementation of the 2DPCA algorithm for face recognition utilizing nearest neighbor classifier, featuring image feature extraction and similarity-based classification
MATLAB implementation of TensorPCA algorithm for face recognition using nearest neighbor classifier for classification tasks.
MATLAB implementation of PCA algorithm for face recognition using nearest neighbor classifier for identification, featuring data preprocessing, feature extraction, and classification techniques.
Implementation of PCA-based face recognition on ORL face database using singular value decomposition theorem, with nearest neighbor classifier for image classification
MATLAB code implementation of the K-Nearest Neighbors classifier with algorithm explanations and optimization techniques
Implementation of PCA Face Recognition Using Singular Value Decomposition Theorem on ORL Face Database