2023 NCKU Image Processing Homework Code
This repository is a comprehensive archive of projects and assignments undertaken for the Pattern Recognition course (TIP8311) at the Federal University of Ceará as part of my Master's curriculum.
It performs principal component analysis (PCA) on a three dimensional normal random vector with covariance matrix specified by the user. It plots data, central ellipsoid, and the projections on the three central planes. For didactic purposes. GNU Octave.
A survey between data reduction techniques for Image Recognition
Welcome to the "Numerical Methods for Data Analysis" GitHub repository, where I have compiled a collection of insightful projects and analyses conducted during my course on data analysis using MATLAB and typeset with LaTeX.This repository showcases the application of various numerical methods to extract valuable insights from dataset.
A facial recognition system in MATLAB that uses the Eigenfaces and PCA techniques to recognize faces.
Generates eigenfaces through PCA analysis
MATLAB implementation of "Finte Sample Guarantees for PCA in non-isotropic and data-dependent noise", Allerton, 2017 and ISIT, 2018.
Codes des TPs de l'UV de Machine Learning de l'EINA
Hyper Spectral Image Classification using Machine Learning Methods
This repo leads us to implement the K-means clustering algorithm and apply it to compress an image. And use principal component analysis to find a low-dimensional representation of face images.
MIT xPRO Data Science Course Case Study for Face Recognition
Clustering and Dimensionality Reduction using k-mean and PCA.
FaceFinder is an face recognition security check app coded in Matlab. It can solve the issue of security check just in seconds. It identifies the particular person is allowed or not allowed for a particular thing or task. This can be used as an Visual Attendance system where student identification and recognition is achieved through face recogni…
Machine learning course by Andrew Ng
Research Goal: Determine if there is hemisphere-dependent change in motor signal origin (measured by EEG) in patients who recover motor function through brain-computer interface (BCI) therapy.
Add a description, image, and links to the pca-analysis topic page so that developers can more easily learn about it.
To associate your repository with the pca-analysis topic, visit your repo's landing page and select "manage topics."