Multispectral image pan sharpening with PCA
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Updated
Mar 8, 2015 - MATLAB
Multispectral image pan sharpening with 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…
Dimensionality Reduction module. Deals with the identification of dominant descriptors of microstructure fro a large set of statistics.
This repositories contains implementation of various Machine Learning Algorithms such as Bayesian Classifier, Principal Component Analysis, Fisher Linear Discriminator, Face Recognition and Reconstruction, Gaussian Mixture Model based Segmentation, Otsu's Segmentation, Neural Network etc. Relevant data sets and results are also included.
MIT xPRO Data Science Course Case Study for Face Recognition
Generates eigenfaces through PCA analysis
Clustering and Dimensionality Reduction using k-mean and PCA.
MATLAB implementation of "Finte Sample Guarantees for PCA in non-isotropic and data-dependent noise", Allerton, 2017 and ISIT, 2018.
PCA for face recognition in MATLAB
Machine learning course by Andrew Ng
A facial recognition system in MATLAB that uses the Eigenfaces and PCA techniques to recognize faces.
Matlab files for data analytics 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.
Face recognition using various classifiers
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.
Simple GUI to load, preview, perform PCA and save spectral data from Hyperspectral images
A survey between data reduction techniques for Image Recognition
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