東華大學圖書館 |

語系: 繁體中文

說明(常見問題)

回圖書館首頁

手機版館藏查詢

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

Matrix Factorization And Its Applica...

Feng, Jie.

FindBook

Google Book

Amazon

博客來

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

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Matrix Factorization And Its Application In Blind Source Separation and Finance./
作者:	Feng, Jie.
面頁冊數:	67 p.
附註:	Source: Dissertation Abstracts International, Volume: 75-08(E), Section: B.
Contained By:	Dissertation Abstracts International75-08B(E).
標題:	Mathematics. -
電子資源:	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.
LDR:01296nam a2200289 4500 001 1966978
005 20141112075559.5
008 150210s2014 ||||||||||||||||| ||eng d
020 $a 9781303810206
035 $a (MiAaPQ)AAI3615192
035 $a AAI3615192
040 $a MiAaPQ $c MiAaPQ
100 1 $a Feng, Jie. $3 1681684
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
690 $a 0405
690 $a 0984
690 $a 0508
710 2 $a University of California, Irvine. $b Mathematics. $3 2103885
773 0 $t Dissertation Abstracts International $g 75-08B(E).
790 $a 0030
791 $a Ph.D.
792 $a 2014
793 $a English
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3615192