Data fusion methodology and applications. ([2019])

• Record Type: Book
• Further Information: Note: Edited by Marina Cocchi.
• Authors: Cocchi, Marina
• Contents: 1. Introduction: ways and means to deal with data from multiple sources 2. Framework for low-level data fusion 3. General framing of low-high-mid level Data Fusion with examples in life science 4. Numerical optimization based algorithms for data fusion 5. Recent advances in High-Level Fusion Methods to classify multiple analytical Chemical Data 6. SO-(N)-PLS: Sequentially Orthogonalized-(N)-PLS in Data Fusion context 7. ComDim methods for the analysis of multi block data in a data fusion perspective 8. Data fusion via multiset analysis 9. Dealing with data heterogeneity in a data fusion perspecitve: models, methodologies, and algorithms 10. Data Fusion strategies in food analysis 11. Data fusion for image analysis 12. Data fusion using window based models: Application to outlier detection, classification, and forensic image analysis
• Publisher Details: Amsterdam : Elsevier Ltd Elsevier
• Publication Date: 2019
• Copyright Date: 2019
• Extent: 1 online resource
• Subjects: 681.2; Multisensor data fusion; TECHNOLOGY & ENGINEERING / Technical & Manufacturing Industries & Trades; Electronic books; Electronic books
• Languages: English
• ISBNs: 9780444639851; 0444639853
• Related ISBNs: 9780444639844
• Notes: Note: Includes bibliographical references and index.; Note: Online resource; title from PDF title page (EBSCO, viewed May 30, 2019).
• Access Rights: Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
• Access Usage: Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.