A MATLAB toolbox for classifier: Version 1.0.7

Group ICA/IVA software (MATLAB)

MATLAB implementation for Unsupervised Change Detection in Satellite Images Using Principal Component Analysis and k-Means Clustering.

Feature reduction projections and classifier models are learned by training dataset and applied to classify testing dataset. A few approaches of feature reduction have been compared in this paper: principle component analysis (PCA), linear discriminant analysis (LDA) and their kernel methods (KPCA,KLDA). Correspondingly, a few approaches of clas…

Head-related Transfer Function Customization Process through Slider using PCA and SH in Matlab

SJTU CS386 Digital Image Processing

Source code for the 2019 IEEE TIFS paper "PalmNet: Gabor-PCA Convolutional Networks for Touchless Palmprint Recognition"

Implemented and evaluated four basic face recognition algorithms: Eigenfaces, Fisherfaces, Support Vector Machine (SVM), and Sparse Representation-based Classification (SRC) on YaleB dataset

Project Page of Combining 3D Morphable Models: A Large scale Face-and-Head Model - [CVPR 2019]

Federated Principal Component Analysis Revisited!

Unsupervised Change Detection Algorithm using PCA and K-Means Clustering

Fusion ICA Toolbox (MATLAB)

Application of PCA and KPCA algorithms to perform dimensionality reduction on the set of parameters in LPV models

Official implementation of PAS-MEF: Multi-exposure image fusion based on principal component analysis, adaptive well-exposedness and saliency map (IEEE ICASSP 2022)

Demonstration of FusionNet for touchless palmprint and finger texture recognition. Based on the source code for the 2019 IEEE CIVEMSA paper "Touchless palmprint and finger texture recognition: A Deep Learning fusion approach"

Machine learning techniques, such as Linear Regression, Logistic Regression, Neural Networks (feedforward propagation, backpropagation algorithms), Diagnosing Bias/Variance, Evaluating a Hypothesis, Learning Curves, Error Analysis, Support Vector Machines, K-Means Clustering, PCA, Anomaly Detection System, and Recommender System.

基于PCA的人脸识别

HAPOD - Hierarchical Approximate Proper Orthogonal Decomposition

MATLAB implementation of "Federated Over-Air Subspace Tracking from Incomplete and Corrupted Data", IEEE Transactions on Signal Processing, Jun 2022.

Several ML Algorithms implemented from scratch, without using inbuilt libraries. Regression Models, GDA, SVM, Naive Bayes, Decision Tree, PCA using SVD, Neural Network