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Matrix Factorization And Its Applica...

Feng, Jie.

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Matrix Factorization And Its Application In Blind Source Separation and Finance.

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Matrix Factorization And Its Application In Blind Source Separation and Finance./
Author:	Feng, Jie.
Description:	67 p.
Notes:	Source: Dissertation Abstracts International, Volume: 75-08(E), Section: B.
Contained By:	Dissertation Abstracts International75-08B(E).
Subject:	Mathematics. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3615192
ISBN:	9781303810206

Matrix Factorization And Its Application In Blind Source Separation and Finance.
Feng, Jie.

Matrix Factorization And Its Application In Blind Source Separation and Finance. - 67 p.

Source: Dissertation Abstracts International, Volume: 75-08(E), Section: B.

Thesis (Ph.D.)--University of California, Irvine, 2014.

Matrix factorization model is often used to extract low dimensional linear structures in data analysis applications. In this thesis the author studies different types of matrix factorization problems, proposes new structured matrix factorization model, designs computation algorithms to solve new matrix factorization problems and applies it to hyper spectral de-mixing and finance.

ISBN: 9781303810206Subjects--Topical Terms:

515831
Mathematics.

Matrix Factorization And Its Application In Blind Source Separation and Finance.
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245 1 0 $a Matrix Factorization And Its Application In Blind Source Separation and Finance.
300 $a 67 p.
500 $a Source: Dissertation Abstracts International, Volume: 75-08(E), Section: B.
500 $a Advisers: Hongkai Zhao; Jack Xin.
502 $a Thesis (Ph.D.)--University of California, Irvine, 2014.
520 $a Matrix factorization model is often used to extract low dimensional linear structures in data analysis applications. In this thesis the author studies different types of matrix factorization problems, proposes new structured matrix factorization model, designs computation algorithms to solve new matrix factorization problems and applies it to hyper spectral de-mixing and finance.
590 $a School code: 0030.
650 4 $a Mathematics. $3 515831
650 4 $a Computer Science. $3 626642
650 4 $a Economics, Finance. $3 626650
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710 2 $a University of California, Irvine. $b Mathematics. $3 2103885
773 0 $t Dissertation Abstracts International $g 75-08B(E).
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792 $a 2014
793 $a English
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3615192