Research Notes
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Research updates for robust clustering through dirichelt process clustering

Source Code Housed Here

Dirichlet


Tasks:

[ ] Dirichlet Pose Graph Optimization

  • Generate GNSS Data
    • dual receivers
      • one high quality receiver with faults
      • one low quality with no faults
  • Test generic M-Estimation techniques
    • ref:: hybrid inference paper
  • Test new graph based methods
    • [ x] Test switchable constraints
      • [x ] try between switchable constraints ( time const. )
    • [ x] Test DCS
    • [ x] Test Max Mixtures
    • [ x] Test Realizing, Reversing, Recovering
  • read Condensed Measurements paper
    • [x ] possible link to smart factor
  • Robust Pose-graph Opt.
    • Test Switchable Constrainst on Manhattan 3500
    • Automate Residual Collection from GTSAM
    • Port GMM-DP from Python to C++
    • Test on other pose-graphs
  • Test E.M. Max-Mix Covariance Est.
    • Breakdown point
    • Confusion Matrix
  • Write E.M. D.P. Max-Mix Optimization
    • Iterate between E.M and Max-Mix to reject outliers
    • Use Neyman–Pearson lemma to weight final Cov. Est.
  • Test D.P Max-Mix on poor initial covariance graph
    • [] vary noise on pose-graph constraints
    • [] compare S.C., (unmodified) MM, and D.P. M.M
  • IAE INS filtering
    • [] Simulate INS data using PPP/INS Sim.
    • [] Write Python Filter

Posts:

  • Nov 20, 2018 • Ryan Watson • dirichletRobustPoseGraph   Covariance Prior  

    Testing Covarince Matrix Priors

  • Nov 9, 2018 • Ryan Watson • dirichletRobustPoseGraph   Covariance Prior  

    Covarince Matrix Priors

  • Nov 6, 2018 • Ryan Watson • dirichletRobustPoseGraph   Sensitivity Analysis  

    Sensitivity of Posterior Distribution to Hyperparameters

  • Sep 14, 2017 • Ryan Watson • dirichletRobustPoseGraph  

    Testing Robust Graph Optimization With Poor A-Priori Measurement Error Covariance

  • Sep 12, 2017 • Ryan Watson • dirichletRobustPoseGraph  

    Testing D.P. M.M On Graph With Randomly Added False Constraints

  • Jul 26, 2017 • Ryan Watson • dirichletRobustPoseGraph   variational inference  

    Variational Inference: A Brief Introduction

  • Jul 25, 2017 • Ryan Watson • dirichletRobustPoseGraph   Gausian Mixture Model   max-mixtures   E.M. Optimization  

    Continued Testing of EM on Faulty Pose Graphs

  • Jul 24, 2017 • Ryan Watson • dirichletRobustPoseGraph   Gausian Mixture Model   max-mixtures  

    Initial Processing Test of EM on Faulty Pose Graphs

  • Jul 20, 2017 • Ryan Watson • dirichletRobustPoseGraph   Gausian Mixture Model   max-mixtures  

    G.M.M. Sensitivity to Dirichlet Hyperparameter

  • Jul 19, 2017 • Ryan Watson • dirichletRobustPoseGraph   Gausian Mixture Model   max-mixtures  

    Validation of G.M.M Covariance Estimation Using Simulated Distributions

  • Jul 18, 2017 • Ryan Watson • dirichletRobustPoseGraph   Gausian Mixture Model   max-mixtures  

    Validation of G.M.M Covariance Estimation Using Manhattan Pose Graph

  • Jun 30, 2017 • Ryan Watson • dirichletRobustPoseGraph   IAE   Inverse Wishart   Idea  

    Innovation Adaptive Estimation Based on Inverse Wishart Distribution

  • Jun 28, 2017 • Ryan Watson • dirichletRobustPoseGraph   M-Estimator   Switchable Constraints   Mixture Model   Dirichlet Process  

    Comparison of Max-Mix Bayesian Mixture Model to M-Estimators

  • Jun 26, 2017 • Ryan Watson • dirichletRobustPoseGraph   Density Estimation   Mixture Model   Dirichlet Process  

    Continued Testing On Manhattan 3500

  • Jun 15, 2017 • Ryan Watson • dirichletRobustPoseGraph   Density Estimation   Mixture Model   Dirichlet Process  

    Initial Testing of Bayes Mixture Model with Dirichlet Process

  • Jun 14, 2017 • Ryan Watson • dirichletRobustPoseGraph   Dirichlet   Density Estimation   Mixture Model  

    Dirichlet Process Mixture Model

  • Jun 7, 2017 • Ryan Watson • dirichletRobustPoseGraph   Density Estimation   Gausian Mixture Model   Dirichlet Process  

    Density Estimation

  • Jun 5, 2017 • Ryan Watson • dirichletRobustPoseGraph   m-estimator  

    Testing Sensitivity of M-Estimator to Kernel Width -- Continued

  • Jun 2, 2017 • Ryan Watson • dirichletRobustPoseGraph   m-estimator  

    Testing Sensitivity of M-Estimator to Kernel Width

  • May 25, 2017 • Ryan Watson • dirichletRobustPoseGraph   covariance   switchable constraints  

    Covariance Estimation With Switchable Constraints --- Continued

  • May 24, 2017 • Ryan Watson • dirichletRobustPoseGraph   covariance   switchable constraints  

    Covariance Estimation With Switchable Constraints

  • May 23, 2017 • Ryan Watson • dirichletRobustPoseGraph   covariance   m-estimator   adaptive m-estimator   isam  

    M-estimator affect on covariance --- continued

  • May 22, 2017 • Ryan Watson • dirichletRobustPoseGraph   covariance   m-estimator  

    M-estimator affect on covariance

  • May 19, 2017 • Ryan Watson • dirichletRobustPoseGraph   dcs   switchable constraint  

    Continue Testing DCS and SF

  • May 18, 2017 • Ryan Watson • dirichletRobustPoseGraph   rrr   dcs   switchable constraint  

    DCS Vs. SF & Inital Testing of RRR

  • May 17, 2017 • Ryan Watson • dirichletRobustPoseGraph   max-mixtures   switchable constraint  

    Testing Robust Noise Models --- Continued

  • May 16, 2017 • Ryan Watson • dirichletRobustPoseGraph   m-estimator   dcs   switchable constraint   rrr  

    Testing Robust Noise Models

  • May 15, 2017 • Ryan Watson • dirichletRobustPoseGraph   data generation   switchable constraint  

    Data Generation & Initial Testing

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Research Notes by Ryan Watson is licensed under a Creative Commons Attribution 4.0 International License.