A dimension reduction scheme for the computation of optimal unions of subspaces

Given a set of points F in a high dimensional space, the problem of finding a union of subspaces ∪ iV i ⊆ ℝ N that best explains the data F increases dramatically with the dimension of ℝ N. In this article, we study a class of transformations that map the problem into another one in lower dimension....

Descripción completa

Guardado en:
Detalles Bibliográficos
Autores principales: Aldroubi, A., Anastasio, M., Cabrelli, C., Molter, U.
Formato: JOUR
Materias:
Acceso en línea:http://hdl.handle.net/20.500.12110/paper_15306429_v10_n1-2_p135_Aldroubi
Aporte de:
id todo:paper_15306429_v10_n1-2_p135_Aldroubi
record_format dspace
spelling todo:paper_15306429_v10_n1-2_p135_Aldroubi2023-10-03T16:21:15Z A dimension reduction scheme for the computation of optimal unions of subspaces Aldroubi, A. Anastasio, M. Cabrelli, C. Molter, U. Concentration inequalities Dimensionality reduction Projective clustering Random matrices Sparsity Given a set of points F in a high dimensional space, the problem of finding a union of subspaces ∪ iV i ⊆ ℝ N that best explains the data F increases dramatically with the dimension of ℝ N. In this article, we study a class of transformations that map the problem into another one in lower dimension. We use the best model in the low dimensional space to approximate the best solution in the original high dimensional space. We then estimate the error produced between this solution and the optimal solution in the high dimensional space. © 2011 SAMPLING PUBLISHING. Fil:Anastasio, M. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina. Fil:Cabrelli, C. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina. Fil:Molter, U. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina. JOUR info:eu-repo/semantics/openAccess http://creativecommons.org/licenses/by/2.5/ar http://hdl.handle.net/20.500.12110/paper_15306429_v10_n1-2_p135_Aldroubi
institution Universidad de Buenos Aires
institution_str I-28
repository_str R-134
collection Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA)
topic Concentration inequalities
Dimensionality reduction
Projective clustering
Random matrices
Sparsity
spellingShingle Concentration inequalities
Dimensionality reduction
Projective clustering
Random matrices
Sparsity
Aldroubi, A.
Anastasio, M.
Cabrelli, C.
Molter, U.
A dimension reduction scheme for the computation of optimal unions of subspaces
topic_facet Concentration inequalities
Dimensionality reduction
Projective clustering
Random matrices
Sparsity
description Given a set of points F in a high dimensional space, the problem of finding a union of subspaces ∪ iV i ⊆ ℝ N that best explains the data F increases dramatically with the dimension of ℝ N. In this article, we study a class of transformations that map the problem into another one in lower dimension. We use the best model in the low dimensional space to approximate the best solution in the original high dimensional space. We then estimate the error produced between this solution and the optimal solution in the high dimensional space. © 2011 SAMPLING PUBLISHING.
format JOUR
author Aldroubi, A.
Anastasio, M.
Cabrelli, C.
Molter, U.
author_facet Aldroubi, A.
Anastasio, M.
Cabrelli, C.
Molter, U.
author_sort Aldroubi, A.
title A dimension reduction scheme for the computation of optimal unions of subspaces
title_short A dimension reduction scheme for the computation of optimal unions of subspaces
title_full A dimension reduction scheme for the computation of optimal unions of subspaces
title_fullStr A dimension reduction scheme for the computation of optimal unions of subspaces
title_full_unstemmed A dimension reduction scheme for the computation of optimal unions of subspaces
title_sort dimension reduction scheme for the computation of optimal unions of subspaces
url http://hdl.handle.net/20.500.12110/paper_15306429_v10_n1-2_p135_Aldroubi
work_keys_str_mv AT aldroubia adimensionreductionschemeforthecomputationofoptimalunionsofsubspaces
AT anastasiom adimensionreductionschemeforthecomputationofoptimalunionsofsubspaces
AT cabrellic adimensionreductionschemeforthecomputationofoptimalunionsofsubspaces
AT molteru adimensionreductionschemeforthecomputationofoptimalunionsofsubspaces
AT aldroubia dimensionreductionschemeforthecomputationofoptimalunionsofsubspaces
AT anastasiom dimensionreductionschemeforthecomputationofoptimalunionsofsubspaces
AT cabrellic dimensionreductionschemeforthecomputationofoptimalunionsofsubspaces
AT molteru dimensionreductionschemeforthecomputationofoptimalunionsofsubspaces
_version_ 1807322776251400192