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


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Автор: Pramod Kumar Pisharady; Prahlad Vadakkepat; Loh Ai
Название:  Computational Intelligence in Multi-Feature Visual Pattern Recognition
ISBN: 9789811011719
Издательство: Springer
Классификация:



ISBN-10: 9811011710
Обложка/Формат: Paperback
Страницы: 138
Вес: 0.23 кг.
Дата издания: 27.09.2016
Серия: Studies in Computational Intelligence
Язык: English
Размер: 234 x 156 x 8
Основная тема: Engineering
Подзаголовок: Hand Posture and Face Recognition using Biologically Inspired Approaches
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: This book presents a collection of computational intelligence algorithms that addresses issues in visual pattern recognition such as high computational complexity, abundance of pattern features, sensitivity to size and shape variations and poor performance against complex backgrounds.


Feature Selection for Data and Pattern Recognition

Автор: Urszula Sta?czyk; Lakhmi C. Jain
Название: Feature Selection for Data and Pattern Recognition
ISBN: 3662456192 ISBN-13(EAN): 9783662456194
Издательство: Springer
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Цена: 20896.00 р.
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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.

Advances in Feature Selection for Data and Pattern Recognition

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
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Цена: 20962.00 р.
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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.

Feature Selection for Data and Pattern Recognition

Автор: Urszula Sta?czyk; Lakhmi C. Jain
Название: Feature Selection for Data and Pattern Recognition
ISBN: 3662508451 ISBN-13(EAN): 9783662508459
Издательство: Springer
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Цена: 18284.00 р.
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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.

Feature Coding for Image Representation and Recognition

Автор: Yongzhen Huang; Tieniu Tan
Название: Feature Coding for Image Representation and Recognition
ISBN: 3662449994 ISBN-13(EAN): 9783662449998
Издательство: Springer
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Цена: 6986.00 р.
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Описание: This brief presents a comprehensive introduction to feature coding, which serves as a key module for the typical object recognition pipeline.

Militarized Conflict Modeling Using Computational Intelligence

Автор: Tshilidzi Marwala; Monica Lagazio
Название: Militarized Conflict Modeling Using Computational Intelligence
ISBN: 1447127013 ISBN-13(EAN): 9781447127017
Издательство: Springer
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Цена: 18167.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This volume offers a scientific approach to manage inter-country conflict. Readers will find that through simultaneous control of four specific aspects (democracy, dependency, allies and capacity), predicted dispute outcomes can be avoided.

Geometric and Topological Mesh Feature Extraction for 3D Shape Analysis

Автор: Mari
Название: Geometric and Topological Mesh Feature Extraction for 3D Shape Analysis
ISBN: 1786300419 ISBN-13(EAN): 9781786300416
Издательство: Wiley
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Цена: 22010.00 р.
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Описание:

Shapes, either from the natural world or man-made, are more and more digitized for visualization or measurement purposes, among others. This process results in general in 3D surface meshes, composed of collections of planar polygons. Such meshes nowadays are the most common discrete representation of the surface of a virtual shape. These 3D surface meshes are automatically, or sometimes interactively, examined, in order their overall structure or some details to be understood or evaluated. This can be done by extracting relevant geometric or topological features. Such shape characteristics can simplify the way the object is looked at, can help recognition, and can describe and categorize it according to specific criteria.

This book deals with feature definition and computation on a 3D surface mesh, and their use for shape analysis. Recent methods are described to extract feature lines having a meaning related not only to geometry but to topology as well. Differential estimators like discrete principal curvatures are detailed as they play a critical role for the computation of salient structures. Several applications are developed, and each of them needs specific adjustments to generic approaches. These applications are related to geology, planetary science, paleo-anthropology, astrophysics, medicine, and forestry.

Grammar-Based Feature Generation for Time-Series Prediction

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
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Цена: 8489.00 р.
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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.

Feature Extraction

Автор: Isabelle Guyon; Steve Gunn; Masoud Nikravesh; Loft
Название: Feature Extraction
ISBN: 366251771X ISBN-13(EAN): 9783662517710
Издательство: Springer
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Цена: 41787.00 р.
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Описание: This book is both a reference for engineers and scientists and a teaching resource, featuring tutorial chapters and research papers on feature extraction. Until now there has been insufficient consideration of feature selection algorithms, no unified presentation of leading methods, and no systematic comparisons.

Materials Design Using Computational Intelligence Techniques

Автор: Shubhabrata Datta
Название: Materials Design Using Computational Intelligence Techniques
ISBN: 1482238322 ISBN-13(EAN): 9781482238327
Издательство: Taylor&Francis
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Цена: 25265.00 р.
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Описание: This book illustrates the alternative but effective methods of designing materials, where models are developed through capturing the inherent correlations among the variables on the basis of available imprecise knowledge in the form of rules or database.

Computational Intelligence in Multi-Feature Visual Pattern Recognition

Автор: Pramod Kumar Pisharady; Prahlad Vadakkepat; Loh Ai
Название: Computational Intelligence in Multi-Feature Visual Pattern Recognition
ISBN: 9812870555 ISBN-13(EAN): 9789812870551
Издательство: Springer
Рейтинг:
Цена: 18284.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This book presents a collection of computational intelligence algorithms that addresses issues in visual pattern recognition such as high computational complexity, abundance of pattern features, sensitivity to size and shape variations and poor performance against complex backgrounds.

Pattern Recognition and Machine Intelligence

Автор: B. Uma Shankar; Kuntal Ghosh; Deba Prasad Mandal;
Название: Pattern Recognition and Machine Intelligence
ISBN: 3319698990 ISBN-13(EAN): 9783319698991
Издательство: Springer
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Цена: 12577.00 р.
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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.

Pattern Recognition and Machine Intelligence

Автор: Marzena Kryszkiewicz; Sanghamitra Bandyopadhyay; H
Название: Pattern Recognition and Machine Intelligence
ISBN: 3319199404 ISBN-13(EAN): 9783319199405
Издательство: Springer
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Цена: 11179.00 р.
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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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