Pattern Recognition and Machine Intelligence, Sankar K. Pal; Sambhunath Biswas
Автор: Christopher M. Bishop Название: Pattern Recognition and Machine Learning ISBN: 0387310738 ISBN-13(EAN): 9780387310732 Издательство: Springer Рейтинг: Цена: 79190.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Familiarity with multivariate calculus and basic linear algebra is required, and some experience in the use of probabilities would be helpful though not essential as the book includes a self-contained introduction to basic probability theory.
Автор: Jason L. Hornick MD PhD Название: Practical Soft Tissue Pathology: A Diagnostic Approach: A Volume in the Pattern Recognition Series ISBN: 1416054553 ISBN-13(EAN): 9781416054559 Издательство: Elsevier Science Рейтинг: Цена: 214190.00 T Наличие на складе: Невозможна поставка. Описание: Catapults you across the finish line of a definitive diagnosis. This title captures key morphologic patterns for a comprehensive range of common and rare soft-tissue conditions and assists in the interpretation of complex diagnostic puzzles.
Автор: Sergios Theodoridis Название: Introduction to Pattern Recognition: A Matlab Approach, ISBN: 0123744865 ISBN-13(EAN): 9780123744869 Издательство: Elsevier Science Рейтинг: Цена: 37050.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: An accompanying manual to "Theodoridis/Koutroumbas, Pattern Recognition", that includes Matlab code of the most common methods and algorithms in the book, together with a descriptive summary and solved examples, and including real-life data sets in imaging and audio recognition.
Автор: Brian D. Ripley Название: Pattern Recognition and Neural Networks ISBN: 0521717701 ISBN-13(EAN): 9780521717700 Издательство: Cambridge Academ Рейтинг: Цена: 51750.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This 1996 book is a reliable account of the statistical framework for pattern recognition and machine learning. Valuable advice is included on both theory and applications, while case studies based on real data sets help readers develop their understanding. All data sets are available from www.stats.ox.ac.uk/~ripley/PRbook/
Автор: Petra Perner; Maria Petrou Название: Machine Learning and Data Mining in Pattern Recognition ISBN: 3540665994 ISBN-13(EAN): 9783540665991 Издательство: Springer Рейтинг: Цена: 65210.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: The refereed proceedings of the First International Workshop on Machine Learning and Data Mining in Pattern Recognition (MLDM `99). Topics covered include image retrieval, classification and image interpretation, symbolic learning and neural networks in document processing, and data mining.
Автор: Petra Perner Название: Machine Learning and Data Mining in Pattern Recognition ISBN: 3642030696 ISBN-13(EAN): 9783642030697 Издательство: Springer Рейтинг: Цена: 121110.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: 6th International Conference MLDM 2009 Leipzig Germany July 2325 2009 Proceedings. .
Автор: B. Uma Shankar; Kuntal Ghosh; Deba Prasad Mandal; Название: Pattern Recognition and Machine Intelligence ISBN: 3319698990 ISBN-13(EAN): 9783319698991 Издательство: Springer Рейтинг: Цена: 83850.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book constitutes the proceedings of the 7th International Conference on Pattern Recognition and Machine Intelligence, PReMI 2017,held in Kolkata, India, in December 2017. The total of 86 full papers presented in this volume were carefully reviewed and selected from 293 submissions.
Автор: Kumar Название: Correlation Pattern Recognition ISBN: 0521153484 ISBN-13(EAN): 9780521153485 Издательство: Cambridge Academ Рейтинг: Цена: 57030.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book provides a needed review of the diverse background material needed for correlation pattern recognition, developing the signal processing theory, the pattern recognition metrics, and the practical application know-how from basic premises. Includes case studies of interest, such as face and fingerprint recognition. For graduate students and practitioners.
Автор: Sergios Theodoridis Название: Pattern Recognition, ISBN: 1597492728 ISBN-13(EAN): 9781597492720 Издательство: Elsevier Science Рейтинг: Цена: 96550.00 T Наличие на складе: Нет в наличии. Описание: Considers classical and theory and practice, of supervised, unsupervised and semi-supervised pattern recognition, to build a complete background for professionals and students of engineering. This book provides an self-contained volume encapsulating this spectrum of information.
Автор: Santanu Chaudhury; Sushmita Mitra; C.A. Murthy; P. Название: Pattern Recognition and Machine Intelligence ISBN: 3642111637 ISBN-13(EAN): 9783642111631 Издательство: Springer Цена: 111790.00 T Наличие на складе: Есть у поставщика Поставка под заказ.
Автор: Pradipta Maji; Ashish Ghosh; M. Narasimha Murty; K Название: Pattern Recognition and Machine Intelligence ISBN: 364245061X ISBN-13(EAN): 9783642450617 Издательство: Springer Рейтинг: Цена: 46570.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Pattern recognition.- Machine learning.- Image processing.- Speech and video processing.- Medical imaging.- Document image processing.- Soft computing.- Bioinformatics and computational biology.- Social media mining.
Автор: Marzena Kryszkiewicz; Sanghamitra Bandyopadhyay; H Название: Pattern Recognition and Machine Intelligence ISBN: 3319199404 ISBN-13(EAN): 9783319199405 Издательство: Springer Рейтинг: Цена: 74530.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book constitutes the proceedings of the 6th International Conference on Pattern Recognition and Machine Intelligence, PReMI 2015, held in Warsaw, Poland, in June/July 2015. The total of 53 full papers and 1 short paper presented in this volume were carefully reviewed and selected from 90 submissions. They were organized in topical sections named: foundations of machine learning; image processing; image retrieval; image tracking; pattern recognition; data mining techniques for large scale data; fuzzy computing; rough sets; bioinformatics; and applications of artificial intelligence.
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