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A machine learning approach to reverse engineering based on clustering and approximate implicitization

Category

Poster

Client

  • EC/H2020 / 675789

Language

English

Affiliation

  • University of Oslo
  • SINTEF Digital / Mathematics and Cybernetics

Presented at

2017 SIAM Conference on Industrial and Applied Geometry

Place

Pittsburgh

Date

10.07.2017 - 12.07.2017

Year

2017

View this publication at Cristin