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Metric Learning and Manifolds: Preserving the Intrinsic Geometry




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Title :  Metric Learning and Manifolds: Preserving the Intrinsic Geometry
Lasting :   59.28
Date of publication :  
Views :   7,5 rb


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Description Metric Learning and Manifolds: Preserving the Intrinsic Geometry



Comments Metric Learning and Manifolds: Preserving the Intrinsic Geometry



Davi Sidarta
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


Frank D
Wow this is so poor shame on Microsoft
Comment from : Frank D


Gerald Price
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


Dr Kafilat O Liadi
Good work Thanks
Comment from : Dr Kafilat O Liadi


Peter Backx
this guy uses so much jargon, i wonder about his true depth of knowledge The lecture was useless for me
Comment from : Peter Backx


Alexander Adnan B
this is the worst presentation I ever watched
Comment from : Alexander Adnan B


saurabh dasgupta
Where are the slides?
Comment from : saurabh dasgupta


Bartholomeo Sphinx
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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