Case-Based Reasoning on Images and Signals
This book is the first edited book that deals with the special topic of signals and images within Case-Based Reasoning (CBR). Signal-interpreting systems are becoming increasingly popular in medical, industrial, ecological, biotechnological and many other applications. Existing statistical and knowl...
Αποθηκεύτηκε σε:
| Κύριος συγγραφέας: | |
|---|---|
| Άλλοι συγγραφείς: | |
| Μορφή: | Livre numérique |
| Γλώσσα: | Anglais |
| Έκδοση: |
Berlin, Heidelberg :
Springer Berlin Heidelberg
[20..].
Cham : Springer Nature |
| Έκδοση: | 1st ed. 2008. |
| Σειρά: | Studies in Computational Intelligence
73 |
| Διαθέσιμο Online: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Σημείωση: |
Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Case-Based Reasoning on Images and Signals, Texte imprimé, 9783540731788 • Case-Based Reasoning on Images and Signals, Texte imprimé, 9783540848349 • Case-Based Reasoning on Images and Signals, Texte imprimé, 9783642092213 • Case-Based Reasoning on Images and Signals, Texte imprimé, 9783540731788 |
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| 100 | 1 | |a Perner, Petra, |d 1958- | |
| 245 | 1 | 0 | |a Case-Based Reasoning on Images and Signals |c edited by Petra Perner. |
| 250 | |a 1st ed. 2008. | ||
| 260 | |a Berlin, Heidelberg : |b Springer Berlin Heidelberg. | ||
| 260 | |a Cham : |b Springer Nature, |c [20..]. | ||
| 490 | 0 | |a Studies in Computational Intelligence |v 73 |x 1860-9503 | |
| 500 | |a Archives Springer e-books (Licence nationale) | ||
| 500 | |a Archives Springer e-books (Licence nationale) | ||
| 505 | 1 | |a to Case-Based Reasoning for Signals and Images Similarity Distance Function Learning for Supervised Similarity Assessment Induction of Similarity Measures for Case Based Reasoning Through Separable Data Transformations Graph Matching Memory Structures and Organization in Case-Based Reasoning Learning a Statistical Model for Performance Prediction in Case-Based Reasoning A CBR Agent for Monitoring the Carbon Dioxide Exchange Rate from Satellite Images Extracting Knowledge from Sensor Signals for Case-Based Reasoning with Longitudinal Time Series Data Prototypes and Case-Based Reasoning for Medical Applications Case-Based Reasoning for Image Segmentation by Watershed Transformation Similarity-Based Retrieval for Biomedical Applications Medical Imagery in Case-Based Reasoning Instance-Based Relevance Feedback in Image Retrieval Using Dissimilarity Spaces | |
| 506 | |a Accès en ligne pour les établissements français bénéficiaires des licences nationales | ||
| 506 | |a Accès soumis à abonnement pour tout autre établissement | ||
| 506 | |a Conditions particulières de réutilisation pour les bénéficiaires des licences nationales. https://www.licencesnationales.fr/springer-nature-ebooks-contrat-licence-ln-2017 | ||
| 520 | |a This book is the first edited book that deals with the special topic of signals and images within Case-Based Reasoning (CBR). Signal-interpreting systems are becoming increasingly popular in medical, industrial, ecological, biotechnological and many other applications. Existing statistical and knowledge-based techniques lack robustness, accuracy and flexibility. New strategies are needed that can adapt to changing environmental conditions, signal variation, user needs and process requirements. Introducing CBR strategies into signal-interpreting systems can satisfy these requirements. CBR can be used to control the signal-processing process in all phases of a signal-interpreting system to derive information of the highest possible quality. Beyond this CBR offers different learning capabilities, for all phases of a signal-interpreting system, that satisfy different needs during the development process of a signal-interpreting system. The structure of the book is divided into a theoretical part and into an application-oriented part. Scientists and computer science experts from industry, medicine and biotechnology who like to work on the special topics of CBR for signals and images will find this work useful. Although case-based reasoning is often not a standard lecture at universities we hope we to also inspire PhD students to deal with this topic | ||
| 700 | 1 | |a Perner, Petra. |4 edt | |
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| 776 | 0 | |t Case-Based Reasoning on Images and Signals |b Texte imprimé |z 9783540848349 | |
| 776 | 0 | |t Case-Based Reasoning on Images and Signals |b Texte imprimé |z 9783642092213 | |
| 776 | 0 | |t Case-Based Reasoning on Images and Signals |b Texte imprimé |z 9783540731788 | |
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