Genetic Learning for Adaptive Image Segmentation, Bir Bhanu; Sungkee Lee

Автор: Bir Bhanu; Sungkee Lee
Название: Genetic Learning for Adaptive Image Segmentation
ISBN: 0792394917 ISBN-13(EAN): 9780792394914
Издательство: Springer
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Цена: 186290.00 T
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Описание: Genetic Learning for Adaptive Image Segmentation presents the first closed-loop image segmentation system that incorporates genetic and other algorithms to adapt the segmentation process to changes in image characteristics caused by variable environmental conditions, such as time of day, time of year, weather, etc.

Автор: King Ngi Ngan; Hongliang Li
Название: Video Segmentation and Its Applications
ISBN: 1489994661 ISBN-13(EAN): 9781489994660
Издательство: Springer
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Цена: 113180.00 T
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Описание: This book presents the latest advances in video segmentation and analysis techniques and covers the theoretical approaches, real applications and methods developed in the computer vision and video analysis community.

Автор: Shimon Whiteson
Название: Adaptive Representations for Reinforcement Learning
ISBN: 3642422314 ISBN-13(EAN): 9783642422317
Издательство: Springer
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Цена: 104480.00 T
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Описание: Presenting the main results of new algorithms for reinforcement learning, this book also introduces a novel method for devising input representations as well as presenting a way to find a minimal set of features sufficient to describe the agent`s current state.

Автор: Dagmar Kainmueller
Название: Deformable Meshes for Medical Image Segmentation
ISBN: 3658070145 ISBN-13(EAN): 9783658070144
Издательство: Springer
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Цена: 60940.00 T
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Описание: ГЇВїВЅ Segmentation of anatomical structures in medical image data is an essential task in clinical practice. As for practical contributions, she proposes application-specific segmentation pipelines for a range of anatomical structures, together with thorough evaluations of segmentation accuracy on clinical image data.

Автор: Sourav De; Siddhartha Bhattacharyya; Susanta Chakr
Название: Hybrid Soft Computing for Multilevel Image and Data Segmentation
ISBN: 3319475231 ISBN-13(EAN): 9783319475233
Издательство: Springer
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Цена: 88500.00 T
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Описание: This book explains efficient solutions for segmenting the intensity levels of different types of multilevel images. The authors present hybrid soft computing techniques, which have advantages over conventional soft computing solutions as they incorporate data heterogeneity into the clustering/segmentation procedures.This is a useful introduction and reference for researchers and graduate students of computer science and electronics engineering, particularly in the domains of image processing and computational intelligence.

Автор: Siddhartha Bhattacharyya; Paramartha Dutta; Sourav
Название: Hybrid Soft Computing for Image Segmentation
ISBN: 3319472224 ISBN-13(EAN): 9783319472225
Издательство: Springer
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Цена: 102480.00 T
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Описание: This book proposes soft computing techniques for segmenting real-life images in applications such as image processing, image mining, video surveillance, and intelligent transportation systems. The book suggests hybrids deriving from three main approaches: fuzzy systems, primarily used for handling real-life problems that involve uncertainty; artificial neural networks, usually applied for machine cognition, learning, and recognition; and evolutionary computation, mainly used for search, exploration, efficient exploitation of contextual information, and optimization.The contributed chapters discuss both the strengths and the weaknesses of the approaches, and the book will be valuable for researchers and graduate students in the domains of image processing and computational intelligence.

Автор: Mousmita Sarma; Kandarpa Kumar Sarma
Название: Phoneme-Based Speech Segmentation using Hybrid Soft Computing Framework
ISBN: 8132235150 ISBN-13(EAN): 9788132235156
Издательство: Springer
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Цена: 104480.00 T
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Описание: The book discusses intelligent system design using soft computing and similar systems and their interdisciplinary applications. It also focuses on the recent trends to use soft computing as a versatile tool for designing a host of decision support systems.

Автор: Maria A. Zuluaga; Kanwal Bhatia; Bernhard Kainz; M
Название: Reconstruction, Segmentation, and Analysis of Medical Images
ISBN: 3319522795 ISBN-13(EAN): 9783319522791
Издательство: Springer
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Цена: 46570.00 T
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Описание: Registration.- Reconstruction.- Deep learning for heart segmentation.- Discrete optimization and probabilistic intensity modeling.- Atlas-based strategies.- Random forests.

Автор: Mousmita Sarma; Kandarpa Kumar Sarma
Название: Phoneme-Based Speech Segmentation using Hybrid Soft Computing Framework
ISBN: 8132218612 ISBN-13(EAN): 9788132218616
Издательство: Springer
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Цена: 121890.00 T
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Описание: The book discusses intelligent system design using soft computing and similar systems and their interdisciplinary applications. It also focuses on the recent trends to use soft computing as a versatile tool for designing a host of decision support systems.

Автор: Ales Jaklic; Ales Leonardis; F. Solina
Название: Segmentation and Recovery of Superquadrics
ISBN: 0792366018 ISBN-13(EAN): 9780792366010
Издательство: Springer
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Цена: 136910.00 T
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Описание: This work covers the geometric properties of superquadrics, primarily the recovery and segmentation of superquadrics from range images. Applications of superquadrics in computer vision and robotics are discussed and the use of superquadrics for range image registration is demonstrated.

Автор: Mark Nitzberg; David Mumford; Takahiro Shiota
Название: Filtering, Segmentation and Depth
ISBN: 3540564845 ISBN-13(EAN): 9783540564843
Издательство: Springer
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Цена: 65210.00 T
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Описание: An exploration of computer vision which addresses the low-level image processing issues of noise removal and smoothing, describes a robust contour tracing algorithm that produces a cartoon of the important lines in any image, and explains how to reconstruct the geometry of objects in a scene.

Автор: Noel Lopes; Bernardete Ribeiro
Название: Machine Learning for Adaptive Many-Core Machines - A Practical Approach
ISBN: 3319380966 ISBN-13(EAN): 9783319380964
Издательство: Springer
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Цена: 95770.00 T
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Описание: Introduction.- Supervised Learning.- Unsupervised and Semi-supervised Learning.- Large-Scale Machine Learning.