|
|
|
|
| LEADER |
00000cam a2200000 i 4500 |
| 001 |
SCIDIR_on1101625304 |
| 003 |
OCoLC |
| 005 |
20231120010352.0 |
| 006 |
m o d |
| 007 |
cr cnu|||unuuu |
| 008 |
190517t20192019ne ob 001 0 eng d |
| 040 |
|
|
|a N$T
|b eng
|e rda
|e pn
|c N$T
|d EBLCP
|d N$T
|d OPELS
|d UKMGB
|d OCLCF
|d UKAHL
|d YDX
|d OCLCQ
|d MYG
|d VLY
|d LVT
|d VT2
|d OCLCO
|d OCLCQ
|d K6U
|d OCLCQ
|d OCLCO
|
| 015 |
|
|
|a GBB997052
|2 bnb
|
| 016 |
7 |
|
|a 019408460
|2 Uk
|
| 019 |
|
|
|a 1105195154
|a 1229514175
|a 1253415474
|
| 020 |
|
|
|a 9780444639851
|q (electronic bk.)
|
| 020 |
|
|
|a 0444639853
|q (electronic bk.)
|
| 020 |
|
|
|z 9780444639844
|
| 020 |
|
|
|z 0444639845
|
| 035 |
|
|
|a (OCoLC)1101625304
|z (OCoLC)1105195154
|z (OCoLC)1229514175
|z (OCoLC)1253415474
|
| 050 |
|
4 |
|a TK7872.D48
|
| 072 |
|
7 |
|a TEC
|x 040000
|2 bisacsh
|
| 082 |
0 |
4 |
|a 681.2
|2 23
|
| 245 |
0 |
0 |
|a Data fusion methodology and applications /
|c edited by Marina Cocchi.
|
| 264 |
|
1 |
|a Amsterdam :
|b Elsevier Ltd. :
|b Elsevier,
|c [2019]
|
| 264 |
|
4 |
|c �2019
|
| 300 |
|
|
|a 1 online resource
|
| 336 |
|
|
|a text
|b txt
|2 rdacontent
|
| 337 |
|
|
|a computer
|b c
|2 rdamedia
|
| 338 |
|
|
|a online resource
|b cr
|2 rdacarrier
|
| 490 |
1 |
|
|a Data handling in science and technology ;
|v v. 31
|
| 504 |
|
|
|a Includes bibliographical references and index.
|
| 588 |
0 |
|
|a Online resource; title from PDF title page (EBSCO, viewed May 30, 2019).
|
| 505 |
0 |
|
|a Introduction : Ways and Means to Deal With Data From Multiple Sources / Marina Cocchi -- A Framework for Low-Level Data Fusion / Age K. Smilde and Iven Van Mechelen -- General Framing of Low-, Mid-, and High-Level Data Fusion With Examples in the Life Sciences / Agnieszka Smolinska, Jasper Engel, Ewa Szymanska, Lutgarde Buydens, and Lionel Blanchet -- Numerical Optimization-Based Algorithms for Data Fusion / N. Vervliet and L. De Lathauwer -- Recent Advances in High-Level Fusion Methods to Classify Multiple Analytical Chemical Data / D. Ballabio, R. Todeschini, and V. Consonni -- The Sequential and Orthogonalized PLS Regression for Multiblock Regression : Theory, Examples, and Extensions / Alessandra Biancolillo and Tormod N�s -- ComDim Methods for the Analysis of Multiblock Data in a Data Fusion Perspective / V. Cariou, D. Jouan-Rimbaud Bouveresse, E.M. Qannari, and D.N. Rutledge -- Data Fusion by Multivariate Curve Resolution / Anna de Juan and R. Tauler -- Dealing With Data Heterogeneity in a Data Fusion Perspective : Models, Methodologies, and Algorithms / Federica Mandreoli and Manuela Montangero -- Data Fusion Strategies in Food Analysis / Alessandra Biancolillo, Ricard Boq�ue, Marina Cocchi, and Federico Marini -- Image Fusion / Anna de Juan, Aoife Gowen, Ludovic Duponchel, and Cyril Ruckebusch -- Data Fusion of Nonoptimized Models : Applications to Outlier Detection, Classification, and Image Library Searching / John H. Kalivas.
|
| 650 |
|
0 |
|a Multisensor data fusion.
|
| 650 |
|
6 |
|a Fusion multicapteurs.
|0 (CaQQLa)201-0266002
|
| 650 |
|
7 |
|a TECHNOLOGY & ENGINEERING
|x Technical & Manufacturing Industries & Trades.
|2 bisacsh
|
| 650 |
|
7 |
|a Multisensor data fusion
|2 fast
|0 (OCoLC)fst01029095
|
| 700 |
1 |
|
|a Cocchi, Marina,
|e editor.
|
| 776 |
0 |
8 |
|i Print version:
|a Cocchi, Marina.
|t Data fusion methodology and applications.
|d Amsterdam : Elsevier Ltd. : Elsevier, [2019]
|z 0444639845
|z 9780444639844
|w (OCoLC)1023535335
|
| 830 |
|
0 |
|a Data handling in science and technology ;
|v v. 31.
|
| 856 |
4 |
0 |
|u https://sciencedirect.uam.elogim.com/science/bookseries/09223487/31
|z Texto completo
|
