ZhengZerong / COTAProject

Project for the course "Convex Optimization": A Toy Example of SVM-GSU Implemented in Matlab

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Final Project for the Course COTA: a toy example of SVM-GSU

A toy example of SVM-GSU, which is described in Linear Maximum Margin Classifierfor Learning from Uncertain Data, TPAMI 2018.

Requirement: Matlab + CVX

Usage: run main.m in Matlab console.

Illustration

Illustration on 2D data.
  • Red/green points: two classes of data points.
  • 1st image: comparison of SVM-GSU (pink solid line) with standard SVM (blue dash line).
  • 2nd/3rd image: comparison of SVM-GSU with standard SVM (black dash line) that learns by sampling 100/1000 points from the input Gaussian.

Related Link

  • The paper of SVM-GSU: link
  • A full C++ implementation of SVM-GSU provided by the authors: link

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Project for the course "Convex Optimization": A Toy Example of SVM-GSU Implemented in Matlab


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