Generalized Principal Component Analysis (GPCA): An Algebraic Geometric Approach to Subspace Clustering and Motion Segmentation

Rene E. Vidal

EECS Department
University of California, Berkeley
Technical Report No. UCB/ERL M03/35
August 2003

http://www2.eecs.berkeley.edu/Pubs/TechRpts/2003/ERL-03-35.pdf

Advisor: S. Shankar Sastry

BibTeX citation:

@phdthesis{Vidal:M03/35,
    Author = {Vidal, Rene E.},
    Title = {Generalized Principal Component Analysis (GPCA): An Algebraic Geometric Approach to Subspace Clustering and Motion Segmentation},
    School = {EECS Department, University of California, Berkeley},
    Year = {2003},
    Month = {Aug},
    URL = {http://www2.eecs.berkeley.edu/Pubs/TechRpts/2003/4159.html},
    Number = {UCB/ERL M03/35}
}

EndNote citation:

%0 Thesis
%A Vidal, Rene E.
%T Generalized Principal Component Analysis (GPCA): An Algebraic Geometric Approach to Subspace Clustering and Motion Segmentation
%I EECS Department, University of California, Berkeley
%D 2003
%@ UCB/ERL M03/35
%U http://www2.eecs.berkeley.edu/Pubs/TechRpts/2003/4159.html
%F Vidal:M03/35