Similarity Search and Applications [electronic resource] : 5th International Conference, SISAP 2012, Toronto, ON, Canada, August 9-10, 2012. Proceedings / edited by Gonzalo Navarro, Vladimir Pestov.
By: Navarro, Gonzalo [editor.].
Contributor(s): Pestov, Vladimir [editor.] | SpringerLink (Online service).
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BookSeries: Lecture Notes in Computer Science: 7404Publisher: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2012Description: X, 247 p. 90 illus. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783642321535.Subject(s): Computer science | Data structures (Computer science) | Computer software | Electronic data processing | Database management | Information storage and retrieval systems | Optical pattern recognition | Computer Science | Information Storage and Retrieval | Pattern Recognition | Data Structures | Database Management | Algorithm Analysis and Problem Complexity | Numeric ComputingDDC classification: 025.04 Online resources: Click here to access online
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Springer eBooksSummary: This book constitutes the proceedings of the 5th International Conference on Similarity Search and Applications, SISAP 2012, held in Toronto, Canada, in August 2012. The 14 full papers presented in this volume, together with 2 demo papers and 2 invited talks, were carefully reviewed and selected from 19 submissions. The papers deal with many of the most relevant aspects of similarity searching and are organized in topical sections named: new scenarios and approaches; improving metric data structures; facing scalability issues; searching in specific spaces; and new similarity spaces.
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This book constitutes the proceedings of the 5th International Conference on Similarity Search and Applications, SISAP 2012, held in Toronto, Canada, in August 2012. The 14 full papers presented in this volume, together with 2 demo papers and 2 invited talks, were carefully reviewed and selected from 19 submissions. The papers deal with many of the most relevant aspects of similarity searching and are organized in topical sections named: new scenarios and approaches; improving metric data structures; facing scalability issues; searching in specific spaces; and new similarity spaces.
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