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Data fusion methodology and applications

Cocchi, Marina,

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Data fusion methodology and applications

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Data fusion methodology and applications/ edited by Marina Cocchi.
其他作者:	Cocchi, Marina,
出版者:	Amsterdam :Elsevier Ltd. : : 2019.,
面頁冊數:	1 online resource
內容註:	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 Nµs -- 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 Boquâe, 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.
標題:	Multisensor data fusion. -
電子資源:	https://www.sciencedirect.com/science/book/9780444639844
ISBN:	9780444639851 (electronic bk.)

Data fusion methodology and applications
Data fusion methodology and applications[electronic resource] /edited by Marina Cocchi. - Amsterdam :Elsevier Ltd. :2019. - 1 online resource - Data handling in science and technology ;v. 31. - Data handling in science and technology ;v. 31..

Includes bibliographical references and index.

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 Nµs -- 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 Boquâe, 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.

ISBN: 9780444639851 (electronic bk.)

LCCN: 2020301694Subjects--Topical Terms:

581966
Multisensor data fusion.
Index Terms--Genre/Form:

542853
Electronic books.

LC Class. No.: TK7872.D48

Dewey Class. No.: 681.2

Data fusion methodology and applications
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