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Speaker: Professor Keenan Crane (Carnegie Mellon) Title: "Compressed Shape Representations for Geometric Computing & Learning" Video: Abstract: Digital encodings of shape have major implications for the way we acquire, transmit, analyze, and learn information about the natural world. This talk explores how encodings of shape via integer normal coordinates, little-known outside geometric topology, can be […] |
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