ntu-rris / bound-learning-supplementary

Supplementary materials for "Continuous Boundary Approximation from Data Samples using Bidirectional Hypersphere Transformation Networks".

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Boundary Learning: Supplementary Materials

Supplementary materials for the paper "Continuous Boundary Approximation from Data Samples using Bidirectional Hypersphere Transformation Networks".

The codes are tested on

  • Python 3.6.9
  • TensorFlow 1.14
  • plotly 3.10.0 (If you have plotly4, downgrade to plotly 3 with command "pip install plotly==3.10.0").
  • matplotlib 3.1.1
  • vispy 0.6.1
  • pyQt5

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Supplementary materials for "Continuous Boundary Approximation from Data Samples using Bidirectional Hypersphere Transformation Networks".

License:MIT License


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