Search for tag: "manifold"

4 Media

Stefan Schonsheck P.h.D. - Representation of… duration 50 minutes 14 seconds Stefan Schonsheck P.h.D. - Representation of… Stefan Schonsheck P.h.D. - Representation of Non-Euclidean Domains and Analysis of Signals Thereon	Stefan Schonsheck P.h.D. - Representation of Non-Euclidean Domains and Analysis of Signals Thereon CeDAR (Center for Data science and Artificial intelligence Research) and UCD4IDS (UC Davis TETRAPODS Institute for Data Science) held their first joint conference in person on Friday, December 2,… artificial intelligence data science machine learning cedar tetrapods basis point space kind points problem manifold representation function circle approximation functions bunch analysis graph idea things charts chart complex From Hasina Mamtaz 0 likes 14 plays 0
abiy.tasissa.5.11 duration 47 minutes 29 seconds 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 52 plays 0
A Riemannian Geometric Approach to Blind Signal… duration 4 minutes 58 seconds 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 16 plays 0
Stefan Schonsheck: Coherence and Manifold… duration 50 minutes 0 seconds 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 27 plays 0