Search for tag: "manifold"

3 Media

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 on May 11th, 2021 0 likes 2 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 on May 11th, 2021 0 likes 5 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 on September 30th, 2020 0 likes 9 plays 0