Graphics Recognition. Recent Advances and New Opportunities, Liu Wenyin; Josep Llad?s; Jean-Marc Ogier
Автор: Rangachar Kasturi; Karl Tombre Название: Graphics Recognition. Methods and Applications ISBN: 3540612262 ISBN-13(EAN): 9783540612261 Издательство: Springer Рейтинг: Цена: 65210.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Containing 23 papers from the First International Workshop on Graphics Recognition, this work is divided into sections on: low-level processing; vectorization and segmentation of scanned graphics documents; symbol and diagram recognition; map processing; and interpretation of engineering drawings.
Автор: Jean-Marc Ogier; Wenyin Liu; Josep Llados Название: Graphics Recognition: Achievements, Challenges, and Evolution ISBN: 364213727X ISBN-13(EAN): 9783642137273 Издательство: Springer Рейтинг: Цена: 65210.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book contains refereed and improved papers presented at the 8th IAPR Workshop on Graphics Recognition (GREC 2009), held in La Rochelle, France, July 22-23, 2009. GREC 2009 continued the tradition of past workshops held in the Penn State University, USA (GREC 1995, LNCS Volume 1072, Springer Verlag, 1996);
Автор: Tieniu Tan; Qiuqi Ruan; Xilin Chen; Huimin Ma; Lia Название: Advances in Image and Graphics Technologies ISBN: 3642371485 ISBN-13(EAN): 9783642371486 Издательство: Springer Рейтинг: Цена: 46570.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: The papers address issues such as the generation of new ideas, new approaches, new techniques, new applications and new evaluation in the field of image processing and graphics.
Автор: Adnan Amin; Dov Dori; Pavel Pudil; Herbert Freeman Название: Advances in Pattern Recognition ISBN: 3540648585 ISBN-13(EAN): 9783540648581 Издательство: Springer Рейтинг: Цена: 130430.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: "Advances in Pattern Recognition".
Автор: Petra Perner; Patrick Wang; Azriel Rosenfeld Название: Advances in Structural and Syntactical Pattern Recognition ISBN: 3540615776 ISBN-13(EAN): 9783540615774 Издательство: Springer Рейтинг: Цена: 81050.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: The papers contained in this text are divided into sections on: grammars and languages; morphology and mathematical approaches to pattern recognition; semantic nets, relational models and graph-bassed methods; 2D and 3D shape recognition; and handwritten and printed character recognition.
Автор: Tieniu Tan; Qiuqi Ruan; Shengjin Wang; Huimin Ma; Название: Advances in Image and Graphics Technologies ISBN: 3662477904 ISBN-13(EAN): 9783662477908 Издательство: Springer Рейтинг: Цена: 68950.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book constitutes the refereed proceedings of the 10th Chinese Conference on Advances in Image and Graphics Technologies, IGTA 2015, held in Beijing, China, in June 2015.
Автор: Bishop, Christopher M. Название: Neural Networks for Pattern Recognition ISBN: 0198538642 ISBN-13(EAN): 9780198538646 Издательство: Oxford Academ Рейтинг: Цена: 92930.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book is the first to provide a comprehensive account of neural networks from a statistical perspective. Its emphasis is on pattern recognition, which currently represents the area of greatest applicability for neural networks. By focusing on pattern recognition, the book provides a much more extensive treatment of many topics than is available in earlier books.
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: 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: 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: Urszula Sta?czyk; Beata Zielosko; Lakhmi C. Jain Название: Advances in Feature Selection for Data and Pattern Recognition ISBN: 3319675877 ISBN-13(EAN): 9783319675879 Издательство: Springer Рейтинг: Цена: 139750.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book presents recent developments and research trends in the field of feature selection for data and pattern recognition, highlighting a number of recent advances. The field of feature selection is evolving constantly, providing numerous new algorithms, new solutions and new applications.
Автор: Sergios Theodoridis Название: Pattern Recognition, ISBN: 1597492728 ISBN-13(EAN): 9781597492720 Издательство: Elsevier Science Рейтинг: Цена: 96550.00 T Наличие на складе: Поставка под заказ. 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.
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