Survey: From persistent homology to machine learning ......Survey: From persistent homology to...

25
Survey: From persistent homology to machine learning feature vectors Henry Adams Colorado State University ICERM TRIPODS Bootcamp on ”Topology and Machine Learning” 2018

Transcript of Survey: From persistent homology to machine learning ......Survey: From persistent homology to...

  • Survey:Frompersistenthomologytomachinelearningfeaturevectors

    HenryAdamsColoradoStateUniversity

    ICERMTRIPODSBootcampon”TopologyandMachineLearning”

    2018

  • Bottleneckdistance

    2007

  • Wassersteindistance

    2011

  • Computationtime

    2017

  • Possiblegoals

    (kernelsarealsoveryuseful!)

  • PersistenceLandscapes

    Computationtimeismuchfaster!

    2015

  • PersistenceLandscapes

  • PersistenceLandscapesMeansareunique!

  • PersistenceLandscapes

    Computations:ThePersistenceLandscapesToolbox:https://www.math.upenn.edu/~dlotko/persistenceLandscape.html

    2017

  • 2015

  • • Topologicalfeaturescanbeaddedtoimprovestate-of-the-artclassifiers

    • Thenon-persistentfeaturesalsomatter!

  • 2016

  • 2015

  • 2015

  • 2017

  • 2015

  • 2015

  • 2018

  • 2018

  • 2015

  • 01

    1

    0.5

    Unit Cube

    0.5

    1

    0.50 0

    Circle

    0

    0.5

    1

    0

    0.5

    1-1

    0

    1

    01

    1

    0.5

    Unit Sphere

    0.5

    1

    0.50 0

    0.51

    1

    1

    Clusters

    0.5 0.8

    1.5

    0.60 0.4

    0.61

    0.8

    1

    Clusters InsideClusters

    0.5 0.8

    1.2

    0.70.60 0.5

    -211

    0.50.5

    00

    0

    Torus

    2

    Survey:Frompersistenthomologytomachinelearningfeaturevectors