Computational Intelligence in Multi-Feature Visual Pattern Recognition, Pramod Kumar Pisharady; Prahlad Vadakkepat; Loh Ai

Автор: Anthony Mihirana De Silva; Philip H. W. Leong
Название: Grammar-Based Feature Generation for Time-Series Prediction
ISBN: 9812874100 ISBN-13(EAN): 9789812874108
Издательство: Springer
Рейтинг:
Цена: 8489.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This book proposes a novel approach for time-series prediction using machine learning techniques with automatic feature generation. The proposed method can be applied to a wide range of machine learning architectures and applications to represent complex feature dependencies explicitly when machine learning cannot achieve this by itself.

Автор: Brian D. Ripley
Название: Pattern Recognition and Neural Networks
ISBN: 0521717701 ISBN-13(EAN): 9780521717700
Издательство: Cambridge Academ
Рейтинг:
Цена: 7762.00 р.
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: Sergios Theodoridis
Название: Pattern Recognition,
ISBN: 1597492728 ISBN-13(EAN): 9781597492720
Издательство: Elsevier Science
Рейтинг:
Цена: 14483.00 р.
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.

Автор: Sergios Theodoridis
Название: Introduction to Pattern Recognition: A Matlab Approach,
ISBN: 0123744865 ISBN-13(EAN): 9780123744869
Издательство: Elsevier Science
Рейтинг:
Цена: 5557.00 р.
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: 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: Wagner
Название: Artificial Life and Computational Intelligence
ISBN: 3319516906 ISBN-13(EAN): 9783319516905
Издательство: Springer
Рейтинг:
Цена: 9083.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This book constitutes the refereed proceedings of the Third Australasian Conference on Artificial Life and Computational Intelligence, ACALCI 2017, held in Geelong, VIC, Australia, in January/February 2017. They were organized in topical sections named: artificial life and computational intelligence and optimization algorithms and applications.

Автор: Urszula Sta?czyk; Lakhmi C. Jain
Название: Feature Selection for Data and Pattern Recognition
ISBN: 3662456192 ISBN-13(EAN): 9783662456194
Издательство: Springer
Рейтинг:
Цена: 20896.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This research book provides the reader with a selection of high-quality texts dedicated to current progress, new developments and research trends in feature selection for data and pattern recognition.

Автор: Bishop, Christopher M.
Название: Neural Networks for Pattern Recognition
ISBN: 0198538642 ISBN-13(EAN): 9780198538646
Издательство: Oxford Academ
Рейтинг:
Цена: 13939.00 р.
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: Hepu Deng; Lanzhou Wang; Fu Lee Wang; Jingsheng Le
Название: Artificial Intelligence and Computational Intelligence
ISBN: 3642052525 ISBN-13(EAN): 9783642052521
Издательство: Springer
Рейтинг:
Цена: 18167.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: International Conference AICI 2009 Shanghai China November 78 2009 Proceedings. .

Автор: Lars Eld?n
Название: Matrix Methods in Data Mining and Pattern Recognition
ISBN: 0898716268 ISBN-13(EAN): 9780898716269
Издательство: Cambridge Academ
Рейтинг:
Цена: 9029.00 р.
Наличие на складе: Поставка под заказ.

Описание: Several very powerful numerical linear algebra techniques are available for solving problems in data mining and pattern recognition. This application-oriented book describes how modern matrix methods can be used to solve these problems, gives an introduction to matrix theory and decompositions, and provides students with a set of tools that can be modified for a particular application. Part I gives a short introduction to a few application areas before presenting linear algebra concepts and matrix decompositions that students can use in problem-solving environments such as MATLAB. In Part II, linear algebra techniques are applied to data mining problems. Part III is a brief introduction to eigenvalue and singular value algorithms. The applications discussed include classification of handwritten digits, text mining, text summarization, pagerank computations related to the Google search engine, and face recognition. Exercises and computer assignments are available on a Web page that supplements the book.