Title | : | Metric Learning and Manifolds: Preserving the Intrinsic Geometry |
Lasting | : | 59.28 |
Date of publication | : | |
Views | : | 7,5 rb |
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Dr Dominique Perrault-Joncas's work is one of the most useful and yet sadly underrated contributions to manifold learning and dimensional reduction I'm shocked by the low quality of the recording given the gigantic importance of this theme, and the lack of appropriate background by some commenters brbrAs a reference for future viewers, please read his astounding manuscript on metric manifold learning, "Metric Manifold Learning: Preserving the Intrinsic Geometry": sitesstatwashingtonedu/mmp/geometry/reading-group17/html/samKslidesRMetricpdf Most of the results he exposes are covered in the manuscript Comment from : Davi Sidarta |
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Wow this is so poor shame on Microsoft Comment from : Frank D |
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Animated graphics would have been great What happened, Microsoft? Can't you do that? ;) Missing graphics aside, for anyone minimally versed in this area (such as myself), this is a great lecture that bears replaying over and over Comment from : Gerald Price |
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Good work Thanks Comment from : Dr Kafilat O Liadi |
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this guy uses so much jargon, i wonder about his true depth of knowledge The lecture was useless for me Comment from : Peter Backx |
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this is the worst presentation I ever watched Comment from : Alexander Adnan B |
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Where are the slides? Comment from : saurabh dasgupta |
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Whoever filmed this has no understanding whatsoever of the importance of slides They are shown for a brief second and no more, making the lecture virtually incomprehensible Comment from : Bartholomeo Sphinx |
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