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Non-Isometric Manifold Learning: Analysis and an Algorithm
Piotr Dollár
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Oznake: computer science;machine learning;manifold learning
In this work we take a novel view of nonlinear manifold learning. Usually, manifold learning is formulated in terms of finding an embedding or "unrolling" of a manifold into a lower dimensional space. Instead, we treat it as the problem of learning a representation of a nonlinear, possibly non-isome ...
Leto: 2007 Vir: videolectures.net
Poster Spotlights
Senjian An , Gabriel Takacs , Minh-Tri Pham , Alexander Toshev , Xavier Perrotton , Richard Socher , Worapan Kusakunniran , Markus Enzweiler , Bertram Drost , Sudheendra Vijayanarasimhan , Timothee Cour , Christoph Lampert , Stefan Walk , Michael Alejandro Villamizar Vergel , David Aldavert , Oisin Mac Aodha , Leo Zhu , Olga Russakovsky , Piotr Dollár , Zhiqi Zhang , Josip Krapac
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Oznake: computer science;natural language processing;computer vision;object recognition
Leto: 2010 Vir: videolectures.net
Št. zadetkov: 2
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