Time-of-Flight and Depth Imaging. Sensors, Algorithms and Applications, Marcin Grzegorzek; Christian Theobalt; Reinhard Ko

Автор: Faugeras O., Benosman Ryad, Kang Sing B.
Название: Panoramic Vision / Sensors, Theory, and Applications
ISBN: 0387951113 ISBN-13(EAN): 9780387951119
Издательство: Springer
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Цена: 26552.00 р.
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Описание: This book features representative work in the design of panoramic image capturing systems, the theory involved in the imaging process, and applications that use panoramic images. This book allows the reader to understand the more technical aspects of panoramic vision, such as sensor design and imaging techniques.

Автор: Alexander Clark; Fran?ois Coste; Laurent Miclet
Название: Grammatical Inference: Algorithms and Applications
ISBN: 3540880089 ISBN-13(EAN): 9783540880080
Издательство: Springer
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Цена: 9781.00 р.
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Описание: Constitutes the refereed proceedings of the 9th International Colloquium on Grammatical Inference, ICGI 2008, held in Saint-Malo, France, in September 2008. This title also includes papers on topics ranging from theoretical results of learning algorithms to innovative applications of grammatical inference.

Автор: Ernesto Sanchez; Giovanni Squillero; Alberto Tonda
Название: Industrial Applications of Evolutionary Algorithms
ISBN: 364244346X ISBN-13(EAN): 9783642443466
Издательство: Springer
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Цена: 15672.00 р.
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Описание: Ideal as a reference both for experienced users and novices, this publication combines a thorough introduction to evolutionary computation with details of its application to real-world problems and advice on tackling a wealth of issues in its implementation.

Автор: Abdelmalek Amine; Ait Mohamed Otmane; Ladjel Bella
Название: Modeling Approaches and Algorithms for Advanced Computer Applications
ISBN: 3319005596 ISBN-13(EAN): 9783319005591
Издательство: Springer
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Цена: 20962.00 р.
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Описание: This volume constitutes the proceedings of the Fourth International Conference on Computer Science and Its Applications, CIIA 2013. Coverage includes computational intelligence, security network technologies, information technology, and computer systems.

Автор: Zhang, Jianye Zhang, Peng
Название: Time series analysis methods and applications for flight data
ISBN: 3662534282 ISBN-13(EAN): 9783662534281
Издательство: Springer
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Цена: 19564.00 р.
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Описание: As mass flight data possesses the typical characteristics of time series, the time series analysis methods and their application for flight data have been illustrated from several aspects, such as data filtering, data extension, feature optimization, similarity search, trend monitoring, fault diagnosis, and parameter prediction, etc.

Автор: Raymond Chiong; Thomas Weise; Zbigniew Michalewicz
Название: Variants of Evolutionary Algorithms for Real-World Applications
ISBN: 3642440584 ISBN-13(EAN): 9783642440588
Издательство: Springer
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Цена: 20896.00 р.
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Описание: This book offers a comprehensive discussion of the ways that Evolutionary Algorithms can be adapted to real-world problems such as production process planning, inventory system and supply chain network optimisation, soil properties analysis and more.

Автор: Leonid Perlovsky; Ross Deming; Roman Ilin
Название: Emotional Cognitive Neural Algorithms with Engineering Applications
ISBN: 3642269389 ISBN-13(EAN): 9783642269387
Издательство: Springer
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Цена: 18284.00 р.
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Описание: Dynamic logic (DL) recently had a highest impact on the development in several areas of modeling and algorithm design. Emerging areas include cognitive, emotional, intelligent systems, data mining, modeling of the mind, higher cognitive functions, evolution of languages and other.

Автор: Diego Oliva; Erik Cuevas
Название: Advances and Applications of Optimised Algorithms in Image Processing
ISBN: 3319485490 ISBN-13(EAN): 9783319485492
Издательство: Springer
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Цена: 16769.00 р.
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Описание: This book presents a study of the use of optimization algorithms in complex image processing problems. The problems selected explore areas ranging from the theory of image segmentation to the detection of complex objects in medical images. Furthermore, the concepts of machine learning and optimization are analyzed to provide an overview of the application of these tools in image processing. The material has been compiled from a teaching perspective. Accordingly, the book is primarily intended for undergraduate and postgraduate students of Science, Engineering, and Computational Mathematics, and can be used for courses on Artificial Intelligence, Advanced Image Processing, Computational Intelligence, etc. Likewise, the material can be useful for research from the evolutionary computation, artificial intelligence and image processing communities.