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Data fusion methodology and applications /

Detalles Bibliográficos
Clasificación:Libro Electrónico
Otros Autores: Cocchi, Marina (Editor )
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Amsterdam : Elsevier Ltd. : Elsevier, [2019]
Colección:Data handling in science and technology ; v. 31.
Temas:
Acceso en línea:Texto completo
Tabla de Contenidos:
  • 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.