Описание: Soft Computing Approach to Pattern Classification and Object Recognition establishes an innovative, unified approach to supervised pattern classification and model-based occluded object recognition.
Автор: Mark R. Stevens; J. Ross Beveridge Название: Integrating Graphics and Vision for Object Recognition ISBN: 1441948600 ISBN-13(EAN): 9781441948601 Издательство: Springer Рейтинг: Цена: 23751.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Integrating Graphics and Vision for Object Recognition serves as a reference for electrical engineers and computer scientists researching computer vision or computer graphics. Computer graphics and computer vision can be viewed as different sides of the same coin.
Автор: M. Bennamoun; G.J. Mamic Название: Object Recognition ISBN: 1447137248 ISBN-13(EAN): 9781447137245 Издательство: Springer Рейтинг: Цена: 20962.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Automatie object recognition is a multidisciplinary research area using con- cepts and tools from mathematics, computing, optics, psychology, pattern recognition, artificial intelligence and various other disciplines.
Описание: Covering recent research on cortical signal processing and plasticity, with an emphasis on object recognition, this book focuses on assemblies of neurons and how they can collectively represent information patterns and their dynamic relationships.
Автор: Petra Perner Название: Machine Learning and Data Mining in Pattern Recognition ISBN: 3319210238 ISBN-13(EAN): 9783319210230 Издательство: Springer Рейтинг: Цена: 8944.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The topics range from theoretical topics for classification, clustering, association rule and pattern mining to specific data mining methods for the different multimedia data types such as image mining, text mining, video mining and Web mining.
Описание: This book discusses nature-inspired optimization algorithms, neural networks, hybrid intelligent control systems, intelligent techniques for solving complex pattern recognition problems, along with new concepts and applications of soft computing.
Автор: Comin Название: Pattern Recognition in Bioinformatics ISBN: 3319091913 ISBN-13(EAN): 9783319091914 Издательство: Springer Рейтинг: Цена: 5590.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book constitutes the refereed proceedings of the 8th IAPR International Conference on Pattern Recognition in Bioinformatics, PRIB 2014, held in Stockholm, Sweden in August 2014. The 9 revised full papers and 9 revised short papers presented were carefully reviewed and selected from 29 submissions.
Автор: Davide Maltoni; Dario Maio; Anil K. Jain; Salil Pr Название: Handbook of Fingerprint Recognition ISBN: 1447161068 ISBN-13(EAN): 9781447161066 Издательство: Springer Рейтинг: Цена: 19564.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This comprehensive handbook provides in-depth coverage of the most recent advances and practices in fingerprint recognition. Readers will find authoritative coverage of all the major concepts, topics, and security methods associated with the subject.
Описание: This book covers hybrid intelligent systems using type-2 fuzzy logic and modular neural networks for pattern recognition applications. Includes basic theory, use of type-2 fuzzy models, optimization of type-2 fuzzy systems and modular neural networks and more.
Описание: This book constitutes the thoroughly refereed post-workshop proceedings of the Third IAPR TC3 Workshop on Pattern Recognition of Social Signals in Human-Computer-Interaction, MPRSS 2014, held in Stockholm, Sweden, in August 2014, as a satellite event of the International Conference on Pattern Recognition, ICPR 2014.
Автор: Dorothea Kolossa; Reinhold Haeb-Umbach Название: Robust Speech Recognition of Uncertain or Missing Data ISBN: 3642438687 ISBN-13(EAN): 9783642438684 Издательство: Springer Рейтинг: Цена: 16977.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book presents the state of the art in recognition in the presence of uncertainty, offering examples that utilize uncertainty information for noise robustness, reverberation robustness, simultaneous recognition of multiple speech signals, and audiovisual speech recognition.
Автор: Daniel Vasquez; Rainer Gruhn; Wolfgang Minker Название: Hierarchical Neural Network Structures for Phoneme Recognition ISBN: 3642432107 ISBN-13(EAN): 9783642432101 Издательство: Springer Рейтинг: Цена: 15672.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The subject of this study is the role of hierarchical structures, based on neural networks, in identifying phonemes in automated speech recognition systems. It shows how the artificial neural network paradigm can simplify the analysis of spoken language.
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