GraphsInMachineLearning

This repository provides MATLAB and Python homeworks from MVA course on Graphs in Machine Learning.

• Spectral Clustering Graph Construction, Connectivity, Graph Laplacian, RW Regularized Laplacian, Spectral Analysis and Clustering, Scalability, ARI, Image Segmentation

• Online Face Recognition Semi-Supervised Learning and Harmonic Function Solution, Hard HFS, Soft HFS, Offline Face Recognition with HFS, k-Centers Algorithm, Graph Quantization, Online SSL on stream video

• Big Graphs (soon)

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^{Guillaume Salha}

^{École Normale Supérieure de Cachan}

^{Master 2 Mathematics, Vision, Learning (MVA)}

^{Fall 2015}