Optical Character Recognition, Stephen V. Rice; George Nagy; Thomas A. Nartker

Автор: Christopher M. Bishop
Название: Pattern Recognition and Machine Learning
ISBN: 1493938436 ISBN-13(EAN): 9781493938438
Издательство: Springer
Рейтинг:
Цена: 10480.00 р.
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: Christopher M. Bishop
Название: Pattern Recognition and Machine Learning
ISBN: 0387310738 ISBN-13(EAN): 9780387310732
Издательство: Springer
Рейтинг:
Цена: 11878.00 р.
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: Kumar
Название: Correlation Pattern Recognition
ISBN: 0521153484 ISBN-13(EAN): 9780521153485
Издательство: Cambridge Academ
Рейтинг:
Цена: 8554.00 р.
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: Jens Spehr
Название: On Hierarchical Models for Visual Recognition and Learning of Objects, Scenes, and Activities
ISBN: 3319358626 ISBN-13(EAN): 9783319358628
Издательство: Springer
Рейтинг:
Цена: 14365.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: In many computer vision applications, objects have to be learned and recognized in images or image sequences.

Автор: Jos? Francisco Mart?nez-Trinidad; Jes?s Ariel Carr
Название: Pattern Recognition
ISBN: 3319393928 ISBN-13(EAN): 9783319393926
Издательство: Springer
Рейтинг:
Цена: 7826.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This book constitutes the refereed proceedings of the 8th Mexican Conference on Pattern Recognition, MCPR 2016, held in Guanajuato, Mexico, in June 2016. The 34 revised full papers presented were carefully reviewed and selected from 60 submissions. The papers are organized in topical sections on computer vision and image analysis;

Автор: Aasa Feragen; Marcello Pelillo; Marco Loog
Название: Similarity-Based Pattern Recognition
ISBN: 3319242601 ISBN-13(EAN): 9783319242606
Издательство: Springer
Рейтинг:
Цена: 6708.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This book constitutes the proceedings of the Third International Workshop on Similarity Based Pattern Analysis and Recognition, SIMBAD 2015, which was held in Copenahgen, Denmark, in October 2015.

Автор: Serkan Kiranyaz; Turker Ince; Moncef Gabbouj
Название: Multidimensional Particle Swarm Optimization for Machine Learning and Pattern Recognition
ISBN: 3642437621 ISBN-13(EAN): 9783642437625
Издательство: Springer
Рейтинг:
Цена: 15372.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This book explores multidimensional particle swarm optimization, a technique developed by the authors and presented in a well-defined algorithmic approach. All featured applications are supported with fully documented source code as well as sample datasets.

Автор: Gernot A. Fink
Название: Markov Models for Pattern Recognition
ISBN: 1447171330 ISBN-13(EAN): 9781447171331
Издательство: Springer
Рейтинг:
Цена: 6986.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This book places the formalism of Markov chain and hidden Markov models at the very center of its examination of current pattern recognition systems, demonstrating how the models can be used in a range of different applications.

Автор: Pradipta Maji; Sushmita Paul
Название: Scalable Pattern Recognition Algorithms
ISBN: 3319379658 ISBN-13(EAN): 9783319379654
Издательство: Springer
Рейтинг:
Цена: 15372.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This book addresses the need for a unified framework describing how soft computing and machine learning techniques can be judiciously formulated and used in building efficient pattern recognition models.

Автор: Erik Cuevas; Daniel Zald?var; Marco Perez-Cisneros
Название: Applications of Evolutionary Computation in Image Processing and Pattern Recognition
ISBN: 3319370995 ISBN-13(EAN): 9783319370996
Издательство: Springer
Рейтинг:
Цена: 16977.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This book presents the use of efficientEvolutionary Computation (EC) algorithms for solving diverse real-world imageprocessing and pattern recognition problems.

Автор: Alvaro Pardo; Josef Kittler
Название: Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications
ISBN: 3319257501 ISBN-13(EAN): 9783319257501
Издательство: Springer
Рейтинг:
Цена: 12298.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This book constitutes the refereed proceedings of the 20th Iberoamerican Congress on Pattern Recognition, CIARP 2015, held in Montevideo, Uruguay, in November 2015. The 95 papers presented were carefully reviewed and selected from 185 submissions. The papers are organized in topical sections on applications on pattern recognition;

Автор: Mohamed Kamel; Aur?lio Campilho
Название: Image Analysis and Recognition
ISBN: 3319208004 ISBN-13(EAN): 9783319208008
Издательство: Springer
Рейтинг:
Цена: 10062.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This book constitutes the thoroughly refereed proceedings of the 12th International Conference on Image Analysis and Recognition, ICIAR 2015, held in Niagara Falls, ON, Canada, in July 2015. The papers are organized in the following topical sections: image quality assessment; image segmentation, registration and analysis; medical image analysis;