Title :
Performance perturbation analysis of eigen-systems
Author_Institution :
Center for Autom. Res., Maryland Univ., College Park, MD, USA
Abstract :
Eigenproblem has wide range of applications in engineering disciplines, including compression and recognition. When building practical systems for these applications, we are interested in actual system performance. The actual system performance usually differs from the ideal system performance. One way to quantify the actual performance is to measure the ideal performance and the performance degradation/perturbation. In this paper, we present a system performance perturbation analysis particular to eigen-systems based on the matrix perturbation theory. Such performance analysis can provide guidance for designing practically good systems
Keywords :
covariance matrices; eigenvalues and eigenfunctions; perturbation techniques; principal component analysis; statistical analysis; covariance matrix; discriminant component analysis; eigen-systems; matrix perturbation; performance analysis; performance degradation; principal component analysis; Automation; Degradation; Educational institutions; Eigenvalues and eigenfunctions; Linear discriminant analysis; Performance analysis; Principal component analysis; Signal processing; Symmetric matrices; System performance;
Conference_Titel :
Pattern Recognition, 2000. Proceedings. 15th International Conference on
Conference_Location :
Barcelona
Print_ISBN :
0-7695-0750-6
DOI :
10.1109/ICPR.2000.906027
