ml-meets-geometry-WI22/resources.html at main · haosulab/ml-meets-geometry-WI22 · GitHub

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            <FONT color="#800000"> <a href="index.html" style="color: #800000">Machine Learning Meets Geometry</a>
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            <FONT color="#800000"> <a href="index.html" style="color: #800000">CSE291 (8) - Winter 2022</a>
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        <H1 align="center">Resources</H1>
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        <ul>
            <li><a href="https://github.com/timzhang642/3D-Machine-Learning">3D Machine Learning Material Collection</a></li>

            <li><a href="http://groups.csail.mit.edu/gdpgroup/6838_spring_2017.html">Shape Analysis</a></li>

            <li>"Laplace-Beltrami: The Swiss Army Knife of Geometry Processing", slides from the Symposium on Geometry
            Processing 2014 graduate school by Justin Solomon, Keenan Crane and Etienne Vouga. <a href="http://ddg.cs.columbia.edu/SGP2014/LaplaceBeltrami.pdf">slides</a></li>

            <li><a href="http://www.pmp-book.org/">Polygon Mesh Processing</a></li>

            <li><a href="http://www.lix.polytechnique.fr/~maks/fmaps_course/publications.html">Documents and codes on functional map</a></li>

            <li><a href="http://ai.ucsd.edu/~haosu/papers/thesis_finalversion.pdf">My Ph.D. thesis</a></li>
            <li><a href="https://graphics.stanford.edu/courses/cs205a-13-fall/assets/notes/cs205a_notes.pdf">Math Basics</a></li>
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