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1 - 1 of 1 results for: CS 468: Topics in Geometric Algorithms: Machine Learning for 3D Data

CS 468: Topics in Geometric Algorithms: Machine Learning for 3D Data

Contents of this course change with each offering. Past offerings have included geometric matching, surface reconstruction, collision detection, computational topology. May be repeated for credit. Winter 2013/14 iteration will cover Computational Symmetry & Regularity and spring quarter 2013/14 will cover data-driven shape analysis. Prerequisites: Math 52 or equivalent, basic coding.
Terms: Spr | Units: 3 | Repeatable for credit
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