Image Analysis and Recognition
Image Analysis and Recognition

Author: Aurélio Campilho

Publisher: Springer

Published: 2016-06-30

Total Pages: 810

ISBN-13: 3319415018

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This book constitutes the thoroughly refereed proceedings of the 13th International Conference on Image Analysis and Recognition, ICIAR 2016, held in Póvoa de Varzim, Portugal, in July 2016. The 79 revised full papers and 10 short papers presented were carefully reviewed and selected from 167 submissions. The papers are organized in the following topical sections: Advances in Data Analytics and Pattern Recognition with Applications, Image Enhancement and Restoration, Image Quality Assessment, Image Segmentation, Pattern Analysis and Recognition, Feature Extraction, Detection and Recognition, Matching, Motion and Tracking, 3D Computer Vision, RGB-D Camera Applications, Visual Perception in Robotics, Biometrics, Biomedical Imaging, Brain Imaging, Cardiovascular Image Analysis, Image Analysis in Ophthalmology, Document Analysis, Applications, and Obituaries. The chapter 'Morphological Separation of Clustered Nuclei in Histological Images' is published open access under a CC BY 4.0 license at link.springer.com.

Mining Heterogeneous Information Networks
Mining Heterogeneous Information Networks

Author: Yizhou Sun

Publisher: Morgan & Claypool Publishers

Published: 2012

Total Pages: 162

ISBN-13: 1608458806

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Investigates the principles and methodologies of mining heterogeneous information networks. Departing from many existing network models that view interconnected data as homogeneous graphs or networks, the semi-structured heterogeneous information network model leverages the rich semantics of typed nodes and links in a network and uncovers surprisingly rich knowledge from the network.

Image Analysis and Recognition
Image Analysis and Recognition

Author: Mohamed Kamel

Publisher: Springer

Published: 2015-07-03

Total Pages: 547

ISBN-13: 3319208012

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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 55 revised full papers and 5 short papers presented were carefully reviewed and selected from 80 submissions. The papers are organized in the following topical sections: image quality assessment; image enhancement; image segmentation, registration and analysis; image coding, compression and encryption; dimensionality reduction and classification; biometrics; face description, detection and recognition; human activity recognition; robotics and 3D vision; medical image analysis; and applications.

Multiview Machine Learning
Multiview Machine Learning

Author: Shiliang Sun

Publisher: Springer

Published: 2019-01-07

Total Pages: 155

ISBN-13: 9811330298

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This book provides a unique, in-depth discussion of multiview learning, one of the fastest developing branches in machine learning. Multiview Learning has been proved to have good theoretical underpinnings and great practical success. This book describes the models and algorithms of multiview learning in real data analysis. Incorporating multiple views to improve the generalization performance, multiview learning is also known as data fusion or data integration from multiple feature sets. This self-contained book is applicable for multi-modal learning research, and requires minimal prior knowledge of the basic concepts in the field. It is also a valuable reference resource for researchers working in the field of machine learning and also those in various application domains.

Multispectral Image Fusion and Colorization
Multispectral Image Fusion and Colorization

Author: Yufeng Zheng (Associate professor)

Publisher:

Published: 2018

Total Pages: 396

ISBN-13: 9781510619067

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"This book provides a complete overview of the state of the art in color image fusion, the associated evaluation methods, and its range of applications. It presents a comprehensive overview of fusion metrics and a comparison of objective metrics and subjective evaluations. Part I addresses the historical background and basic concepts. Part II describes image fusion theory. Part III focuses on quantitative and qualitative evaluation. Part IV presents several fusion applications, including two primary multiscale fusion approaches - the image pyramid and wavelet transform - as they pertain to face matching, biomedical imaging, and night vision"--

Least-Mean-Square Adaptive Filters
Least-Mean-Square Adaptive Filters

Author: Simon Haykin

Publisher: John Wiley & Sons

Published: 2003-09-08

Total Pages: 516

ISBN-13: 9780471215707

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Edited by the original inventor of the technology. Includes contributions by the foremost experts in the field. The only book to cover these topics together.

Mobile Cloud Visual Media Computing
Mobile Cloud Visual Media Computing

Author: Gang Hua

Publisher: Springer

Published: 2015-11-23

Total Pages: 349

ISBN-13: 3319247026

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This book explores the internet and mobile ecosystems which are powered by cloud computing – an essential, if not indispensable, part of our everyday lives. Billions of users world-wide use this technology for information sharing, communication and social networking and a high proportion of activity is driven by massive media content such as images, videos and other emerging 3D visual media. However, managing, searching and visualizing this gigantic amount of data to facilitate communication is difficult which has led to an influx of innovation and research in these areas. The research is from academics from all around the world, focusing on the intersection of mobile, cloud, visual and multimedia computing and is split into five clear parts. Topics covered in the book include mobile augmented reality, computational photography, mobile visual recognition and search, and human-computer interaction (HCI). The findings discussed is meant to spur on further creative development in both academia and industry within this area. Mobile Cloud Visual Media Computing would of great interest to researchers and academics wishing to see how the state-of-the-art in media computing research is applied to innovative applications, whilst engineers and software designers from industry will gain an insight into the key set of technologies which support mobile and cloud media computing.

Statistical Atlases and Computational Models of the Heart. Multi-Disease, Multi-View, and Multi-Center Right Ventricular Segmentation in Cardiac MRI Challenge
Statistical Atlases and Computational Models of the Heart. Multi-Disease, Multi-View, and Multi-Center Right Ventricular Segmentation in Cardiac MRI Challenge

Author: Esther Puyol Antón

Publisher: Springer Nature

Published: 2022-01-14

Total Pages: 397

ISBN-13: 3030937224

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This book constitutes the proceedings of the 12th International Workshop on Statistical Atlases and Computational Models of the Heart, STACOM 2021, as well as the M&Ms-2 Challenge: Multi-Disease, Multi-View and Multi-Center Right Ventricular Segmentation in Cardiac MRI Challenge. The 25 regular workshop papers included in this volume were carefully reviewed and selected after being revised. They deal with cardiac imaging and image processing, machine learning applied to cardiac imaging and image analysis, atlas construction, artificial intelligence, statistical modelling of cardiac function across different patient populations, cardiac computational physiology, model customization, atlas based functional analysis, ontological schemata for data and results, integrated functional and structural analyses, as well as the pre-clinical and clinical applicability of these methods. In addition, 15 papers from the M&MS-2 challenge are included in this volume. The Multi-Disease, Multi-View & Multi-Center Right Ventricular Segmentation in Cardiac MRI Challenge (M&Ms-2) is focusing on the development of generalizable deep learning models for the Right Ventricle that can maintain good segmentation accuracy on different centers, pathologies and cardiac MRI views. There was a total of 48 submissions to the workshop.

Computer Vision – ACCV 2020 Workshops
Computer Vision – ACCV 2020 Workshops

Author: Imari Sato

Publisher: Springer Nature

Published: 2021-02-23

Total Pages: 199

ISBN-13: 3030697568

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This book constitutes the refereed post-conference proceedings of four workshops held at the 15th Asian Conference on Computer Vision, ACCV 2020, which was held in Kyoto, Japan, in November/ December 2020.* The 13 papers were carefully reviewed and selected from the following two workshops: Machine Learning and Computing for Visual Semantic Analysis (MLCSA) and Multi-Visual-Modality Human Activity Understanding (MMHAU). *The conference and workshops were held virtually.