Springer
Multiple Classifier Systems (English, Fabio Roli | Josef Kittler | Terry Windeatt)
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Specifications
| Publisher | Springer |
| Language | English |
| ISBN-13 | 9783540221449 |
| ISBN-10 | 3540221441 |
| Author | Fabio Roli | Josef Kittler | Terry Windeatt |
Product Description
About the Book
The fusion of di?erent information sourcesis a persistent and intriguing issue. It hasbeenaddressedforcenturiesinvariousdisciplines, includingpoliticalscience, probability and statistics, system reliability assessment, computer science, and distributed detection in communications. Early seminal work on fusion was c- ried out by pioneers such as Laplace and von Neumann. More recently, research activities in information fusion have focused on patte…
ISBN: 9783540221449
Book Insights
What You'll Learn
- ·In-depth exploration of topics covered in Multiple Classifier Systems
- ·Key concepts explained with clarity and practical examples
- ·Insights valuable for anyone studying or working in Springer
Who Should Read This
Students and professionals interested in Springer, as well as general readers looking to expand their knowledge.
Key Highlights
- ·Brand new physical book delivered across India
- ·15-day hassle-free return policy
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Is Multiple Classifier Systems available in English?
Multiple Classifier Systems is available in English on GlowMirror.
Who is the author of Multiple Classifier Systems?
Multiple Classifier Systems is authored by Fabio Roli | Josef Kittler | Terry Windeatt.
Who published Multiple Classifier Systems?
Multiple Classifier Systems is published by Springer.
How many pages does Multiple Classifier Systems have?
Page count information for Multiple Classifier Systems is available in the specifications section of this page.
How long does it take to read Multiple Classifier Systems?
At an average reading speed of 250 words per minute, reading Multiple Classifier Systems takes a few hours to a few days depending on reading pace.
What is Multiple Classifier Systems about?
About the Book
The fusion of di?erent information sourcesis a persistent and intriguing issue. It hasbeenaddressedforcenturiesinvariousdisciplines, includingpoliticalscience, probability and statistics, system reliability assessment, computer science, and distributed detection in communications. E...
Is Multiple Classifier Systems suitable for beginners?
Whether Multiple Classifier Systems is suitable for beginners depends on your background in Springer. Review the product description and specifications above for details on the target audience and difficulty level.
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Multiple Classifier Systems is from the Springer edition/year. Check the specifications section for full edition details.
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