Search for tag: "manifold"

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47:29 abiy.tasissa.5.11 abiy.tasissa.5.11	abiy.tasissa.5.11 Abstract: Sparse Manifold clustering and embedding (SMCE) is an algorithm to cluster nonlinear manifolds using self-representation in the dictionary of data points and a proximity regularization. A… points point problem atoms clustering coefficients dictionary reconstruction subspace algorithm graph sparsity coefficient network matrix representations linear representation manifold triangulation From Stefan Schonsheck 0 likes 7 plays 0
04:58 A Riemannian Geometric Approach to Blind Signal… A Riemannian Geometric Approach to Blind Signal Recovery for Grant Free Radio Network Access	A Riemannian Geometric Approach to Blind Signal Recovery for Grant Free Radio Network Access Sensing, Imaging and Signal Processing 14 Team Lead: Carlos Feres Advisor: Prof. Ding space recovery manifold matrix sources approach sample cross problem signals interference db tangent function cost optimization signal channel success probability From Femi-Jide Akinmoladun 0 likes 9 plays 0
50:00 Stefan Schonsheck: Coherence and Manifold… Stefan Schonsheck: Coherence and Manifold Structures in Data (09/29/20)	Stefan Schonsheck: Coherence and Manifold Structures in Data (09/29/20) Visit https://sites.google.com/view/maddd/ for further info. fall 2020 maddd kind manifold convolution feature functions idea point network domain problem transportation surface function operation charts filter bunch eigenfunctions networks lot From Naoki Saito 0 likes 12 plays 0