@inproceedings{f025f92669f746489653c2b258779545,
title = "A framework for eigen and singular component analysis",
abstract = "A framework that involves an unconstrained optimization of a polynomial type cost function weighted with a diagonal matrix is utilized to develop learning rules for principal and minor component analyzers. With some modifications, this cost function is also used to derive generalized principal and minor component analyzers, and principal singular component analyzers. Global and asymptotic stability of the proposed systems are analyzed via Liapunov theory and the Lasalle invariance principle.",
keywords = "Asymptotic stability, Dynamical system, Generalized PCA, Global convergence, Global stability, Invariant set, Lasalle invariance principle, MCA, PCA, PSCA, PSSA, Principal singular flow, SVD, Unconstrained optimization",
author = "Hasan, {Mohammed A.}",
year = "2007",
doi = "10.1109/ACC.2007.4282961",
language = "English (US)",
isbn = "1424409888",
series = "Proceedings of the American Control Conference",
pages = "1654--1659",
booktitle = "Proceedings of the 2007 American Control Conference, ACC",
note = "2007 American Control Conference, ACC ; Conference date: 09-07-2007 Through 13-07-2007",
}