語系:
繁體中文
English
說明(常見問題)
登入
回首頁
切換:
標籤
|
MARC模式
|
ISBD
Non-negative matrix factorization te...
~
Naik, Ganesh R.
Non-negative matrix factorization techniques = advances in theory and applications /
紀錄類型:
書目-語言資料,印刷品 : Monograph/item
正題名/作者:
Non-negative matrix factorization techniques/ edited by Ganesh R. Naik.
其他題名:
advances in theory and applications /
其他作者:
Naik, Ganesh R.
出版者:
Berlin, Heidelberg :Springer Berlin Heidelberg : : 2016.,
面頁冊數:
vii, 194 p. :ill., digital ; : 24 cm.;
Contained By:
Springer eBooks
標題:
Non-negative matrices. -
電子資源:
http://dx.doi.org/10.1007/978-3-662-48331-2
ISBN:
9783662483312
Non-negative matrix factorization techniques = advances in theory and applications /
Non-negative matrix factorization techniques
advances in theory and applications /[electronic resource] :edited by Ganesh R. Naik. - Berlin, Heidelberg :Springer Berlin Heidelberg :2016. - vii, 194 p. :ill., digital ;24 cm. - Signals and communication technology,1860-4862. - Signals and communication technology..
From Binary NMF to Variational Bayes NMF: A Probabilistic Approach -- Non Negative Matrix Factorizations for Intelligent Data Analysis -- Automatic extractive multi-document summarization based on Archetypal Analysis -- Bounded Matrix Low Rank Approximation -- A Modified NMF-based Filter Bank Approach for Enhancement of Speech Data in Non-stationary Noise -- Separation of stellar spectra based on non-negativity and parametric modelling of mixing operator -- NMF in MR Spectroscopy -- Time-Scale Based Segmentation for Degraded PCG Signals Using NMF.
This book collects new results, concepts and further developments of NMF. The open problems discussed include, e.g. in bioinformatics: NMF and its extensions applied to gene expression, sequence analysis, the functional characterization of genes, clustering and text mining etc. The research results previously scattered in different scientific journals and conference proceedings are methodically collected and presented in a unified form. While readers can read the book chapters sequentially, each chapter is also self-contained. This book can be a good reference work for researchers and engineers interested in NMF, and can also be used as a handbook for students and professionals seeking to gain a better understanding of the latest applications of NMF.
ISBN: 9783662483312
Standard No.: 10.1007/978-3-662-48331-2doiSubjects--Topical Terms:
528046
Non-negative matrices.
LC Class. No.: QA188
Dewey Class. No.: 512.9434
Non-negative matrix factorization techniques = advances in theory and applications /
LDR
:02410nam a2200349 a 4500
001
860890
003
DE-He213
005
20160722144614.0
006
m d
007
cr nn 008maaau
008
170720s2016 gw s 0 eng d
020
$a
9783662483312
$q
(electronic bk.)
020
$a
9783662483305
$q
(paper)
024
7
$a
10.1007/978-3-662-48331-2
$2
doi
035
$a
978-3-662-48331-2
040
$a
GP
$c
GP
041
0
$a
eng
050
4
$a
QA188
072
7
$a
TTBM
$2
bicssc
072
7
$a
UYS
$2
bicssc
072
7
$a
TEC008000
$2
bisacsh
072
7
$a
COM073000
$2
bisacsh
082
0 4
$a
512.9434
$2
23
090
$a
QA188
$b
.N812 2016
245
0 0
$a
Non-negative matrix factorization techniques
$h
[electronic resource] :
$b
advances in theory and applications /
$c
edited by Ganesh R. Naik.
260
$a
Berlin, Heidelberg :
$c
2016.
$b
Springer Berlin Heidelberg :
$b
Imprint: Springer,
300
$a
vii, 194 p. :
$b
ill., digital ;
$c
24 cm.
490
1
$a
Signals and communication technology,
$x
1860-4862
505
0
$a
From Binary NMF to Variational Bayes NMF: A Probabilistic Approach -- Non Negative Matrix Factorizations for Intelligent Data Analysis -- Automatic extractive multi-document summarization based on Archetypal Analysis -- Bounded Matrix Low Rank Approximation -- A Modified NMF-based Filter Bank Approach for Enhancement of Speech Data in Non-stationary Noise -- Separation of stellar spectra based on non-negativity and parametric modelling of mixing operator -- NMF in MR Spectroscopy -- Time-Scale Based Segmentation for Degraded PCG Signals Using NMF.
520
$a
This book collects new results, concepts and further developments of NMF. The open problems discussed include, e.g. in bioinformatics: NMF and its extensions applied to gene expression, sequence analysis, the functional characterization of genes, clustering and text mining etc. The research results previously scattered in different scientific journals and conference proceedings are methodically collected and presented in a unified form. While readers can read the book chapters sequentially, each chapter is also self-contained. This book can be a good reference work for researchers and engineers interested in NMF, and can also be used as a handbook for students and professionals seeking to gain a better understanding of the latest applications of NMF.
650
0
$a
Non-negative matrices.
$3
528046
650
0
$a
Matrices.
$3
528174
650
0
$a
Signal processing
$x
Mathematics.
$3
528164
650
1 4
$a
Engineering.
$3
561152
650
2 4
$a
Signal, Image and Speech Processing.
$3
670837
650
2 4
$a
Computer Imaging, Vision, Pattern Recognition and Graphics.
$3
671334
650
2 4
$a
Computational Mathematics and Numerical Analysis.
$3
669338
650
2 4
$a
Artificial Intelligence (incl. Robotics)
$3
593924
650
2 4
$a
Biomedical Engineering.
$3
588771
700
1
$a
Naik, Ganesh R.
$3
1102844
710
2
$a
SpringerLink (Online service)
$3
593884
773
0
$t
Springer eBooks
830
0
$a
Signals and communication technology.
$3
632627
856
4 0
$u
http://dx.doi.org/10.1007/978-3-662-48331-2
950
$a
Engineering (Springer-11647)
筆 0 讀者評論
多媒體
評論
新增評論
分享你的心得
Export
取書館別
處理中
...
變更密碼[密碼必須為2種組合(英文和數字)及長度為10碼以上]
登入