Case-Based Reasoning on Images and Signals
Language: English
Published by Springer, Springer Okt 2010, 2010
- Softcover
- New
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germanybuchversandmimpf2000
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This item is printed on demand - Print on Demand Titel. Neuware -This book is the rst 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 statisticalandknowledge-basedtechniqueslackrobustness,accuracy,and - ibility. New strategies are needed that can adapt to changing environmental conditions, signal variation, user needs and process requirements. Introducing CBRstrategiesintosignal-interpretingsystemscansatisfytheserequirements. 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 qu- ity. Beyond this CBR o ers di erent learning capabilities, for all phases of a signal-interpretingsystem,thatsatisfydi erentneedsduringthedevelopment process of a signal-interpreting system. In the outline of this book we summarize under the term ¿signal¿ signals of 1-dimensional, 2-dimensional or 3-dimensional nature. The unique data and the necessary computation techniques require ext- ordinary case representations, similarity measures and CBR strategies to be utilised. Signalinterpretation(1D,2D,or3Dsignalinterpretation)istheprocessof mapping the numerical representation of a signal into logical representations suitable for signal descriptions. A signal-interpreting system must be able to extract symbolic features from the raw data e.g., the image (e.g., irregular structure inside the nodule, area of calci cation, and sharp margin). This is a complex process; the signal passes through several general processing steps before the nal symbolic description is obtained. The structure of the book is divided into a theoretical part and intoan application-oriented part.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 448 pp. Englisch.…
Seller Inventory # 9783642092213
- Title
- Case-Based Reasoning on Images and Signals
- Author
- Petra Perner
- Publisher
- Springer, Springer Okt 2010
- Publication year
- 2010
- Condition
- Neu
- Binding
- Taschenbuch
- Language
- English
- ISBN 10
- 3642092217
- ISBN 13
- 9783642092213
- Item weight
- 674 grams
- Dimensions
- 235x155x25 mm
"Synopsis" may belong to another edition of this title.
From the Back Cover
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.
"About the title" may belong to another edition of this title.
buchversandmimpf2000
Emtmannsberg, BAYE, Germany
AbeBooks seller since January 23, 2017
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