Towards optimal transport with global invariances
Many problems in machine learning involve calculating correspondences between sets of objects, such as point clouds or images. Discrete optimal transport provides a natural and successful approach to such tasks whenever the two sets of objects can be represented in the same space, or at least distan...
Main Authors: | , , |
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Other Authors: | , |
Format: | Article |
Language: | English |
Published: |
JMLR,
2021-01-11T17:20:16Z.
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Subjects: | |
Online Access: | Get fulltext |