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Record Nr. |
UNINA9910437904703321 |
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Titolo |
Pattern recognition-- Applications and methods : International Conference, ICPRAM 2012 Vilamoura, Algarve, Portugal, February 6-8, 2012, Revised selected papers / / Pedro Latorre Carmona, J. Salvador Sanchez, and Ana L.N. Fred (eds.) |
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Pubbl/distr/stampa |
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New York, : Springer, c2013 |
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ISBN |
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Edizione |
[1st ed. 2013.] |
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Descrizione fisica |
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1 online resource (xiv, 204 pages) : illustrations (some color) |
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Collana |
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Advances in intelligent and soft computing, , 1867-5662 ; ; 204 |
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Altri autori (Persone) |
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Latorre CarmonaPedro |
SanchezJ. Salvador |
FredAna L. N |
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Disciplina |
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Soggetti |
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Pattern perception |
Pattern recognition systems |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Nota di bibliografia |
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Includes bibliographical references and index. |
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Nota di contenuto |
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From the Contents: Pattern Recognition as an Indicator of Diagnostic Expertise -- Analysis of Factorial Designs with the Consideration of Interactions via the Stepwise Response Refinement Screener (SRRS) -- Object Detection with Semi-local Features -- Inferring Time Varying Dynamic Linear Model Parameters from a Mixture Model -- A Performance Evaluation of Mutual Information Estimators for Multivariate Feature Selection -- Modelling and Explaining Online News Preferences -- Combining Graph Seriation and Substructures Mining for Graph Recognition. |
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Sommario/riassunto |
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This edited book includes extended and revised versions of a set of selected papers from the First International Conference on Pattern Recognition (ICPRAM 2012), held in Vilamoura, Algarve, Portugal, from 6 to 8 February, 2012, sponsored by the Institute for Systems and Technologies of Information Control and Communication (INSTICC) and held in cooperation with the Association for the Advancement of Artificial Intelligence (AAAI) and Pattern Analysis, Statistical Modelling and Computational Learning (PASCAL2). The conference brought |
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together researchers, engineers and practitioners interested on the areas of Pattern Recognition, both from theoretical and application perspectives. |
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