Internet Multimedia Computing and Service
Internet Multimedia Computing and Service

Author: Benoit Huet

Publisher: Springer

Published: 2018-02-28

Total Pages: 501

ISBN-13: 9811085307

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This book constitutes the refereed proceedings of the 9th International Conference on Internet Multimedia Computing and Service, ICIMCS 2017, held in Qingdao, China, in August 2017. The 20 revised full papers and 28 revised short papers presented were carefully reviewed and selected from 103 submissions. The papers are organized in topical sections on multimedia information fusion, image processing and object recognition, machine learning and representation learning, multimedia retrieval, poster papers.

Algorithms and Architectures for Parallel Processing
Algorithms and Architectures for Parallel Processing

Author: Xiang-he Sun

Publisher: Springer

Published: 2014-08-13

Total Pages: 873

ISBN-13: 3319111973

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This two volume set LNCS 8630 and 8631 constitutes the proceedings of the 14th International Conference on Algorithms and Architectures for Parallel Processing, ICA3PP 2014, held in Dalian, China, in August 2014. The 70 revised papers presented in the two volumes were selected from 285 submissions. The first volume comprises selected papers of the main conference and papers of the 1st International Workshop on Emerging Topics in Wireless and Mobile Computing, ETWMC 2014, the 5th International Workshop on Intelligent Communication Networks, IntelNet 2014, and the 5th International Workshop on Wireless Networks and Multimedia, WNM 2014. The second volume comprises selected papers of the main conference and papers of the Workshop on Computing, Communication and Control Technologies in Intelligent Transportation System, 3C in ITS 2014, and the Workshop on Security and Privacy in Computer and Network Systems, SPCNS 2014.

Signal Processing and Machine Learning Theory
Signal Processing and Machine Learning Theory

Author: Paulo S.R. Diniz

Publisher: Elsevier

Published: 2023-07-10

Total Pages: 1236

ISBN-13: 032397225X

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Signal Processing and Machine Learning Theory, authored by world-leading experts, reviews the principles, methods and techniques of essential and advanced signal processing theory. These theories and tools are the driving engines of many current and emerging research topics and technologies, such as machine learning, autonomous vehicles, the internet of things, future wireless communications, medical imaging, etc. Provides quick tutorial reviews of important and emerging topics of research in signal processing-based tools Presents core principles in signal processing theory and shows their applications Discusses some emerging signal processing tools applied in machine learning methods References content on core principles, technologies, algorithms and applications Includes references to journal articles and other literature on which to build further, more specific, and detailed knowledge

Advances in Intelligent Systems and Applications - Volume 1
Advances in Intelligent Systems and Applications - Volume 1

Author: Ruay-Shiung Chang

Publisher: Springer Science & Business Media

Published: 2012-12-14

Total Pages: 721

ISBN-13: 3642354521

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The field of Intelligent Systems and Applications has expanded enormously during the last two decades. Theoretical and practical results in this area are growing rapidly due to many successful applications and new theories derived from many diverse problems. This book is dedicated to the Intelligent Systems and Applications in many different aspects. In particular, this book is to provide highlights of the current research in Intelligent Systems and Applications. It consists of research papers in the following specific topics: l Graph Theory and Algorithms l Interconnection Networks and Combinatorial Algorithms l Artificial Intelligence and Fuzzy Systems l Database, Data Mining, and Information Retrieval l Information Literacy, e-Learning, and Social Media l Computer Networks and Web Service/Technologies l Wireless Sensor Networks l Wireless Network Protocols l Wireless Data Processing This book provides a reference to theoretical problems as well as practical solutions and applications for the state-of-the-art results in Intelligent Systems and Applications on the aforementioned topics. In particular, both the academic community (graduate students, post-doctors and faculties) in Electrical Engineering, Computer Science, and Applied Mathematics; and the industrial community (engineers, engineering managers, programmers, research lab staffs and managers, security managers) will find this book interesting.

E-Learning and Games
E-Learning and Games

Author: Abdennour El Rhalibi

Publisher: Springer

Published: 2016-06-03

Total Pages: 436

ISBN-13: 3319402595

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This book constitutes the refereed proceedings of the 10th International Conference on E-Learning and Games, Edutainment 2016, held in Hangzhou, China, in April 2016. The 36 full papers presented were carefully reviewed and selected from 60 submissions. They are organized in the following topical sections: E-learning and game; graphics, imaging and applications; intelligent data analytics and visualization.

Information, Computer and Application Engineering
Information, Computer and Application Engineering

Author: Hsiang-Chuan Liu

Publisher: CRC Press

Published: 2018-06-12

Total Pages: 1146

ISBN-13: 0429785526

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This proceedings volume brings together peer-reviewed papers presented at the International Conference on Information Technology and Computer Application Engineering, held 10-11 December 2014, in Hong Kong, China. Specific topics under consideration include Computational Intelligence, Computer Science and its Applications, Intelligent Information Processing and Knowledge Engineering, Intelligent Networks and Instruments, Multimedia Signal Processing and Analysis, Intelligent Computer-Aided Design Systems and other related topics. This book provides readers a state-of-the-art survey of recent innovations and research worldwide in Information Technology and Computer Application Engineering, in so-doing furthering the development and growth of these research fields, strengthening international academic cooperation and communication, and promoting the fruitful exchange of research ideas. This volume will be of interest to professionals and academics alike, serving as a broad overview of the latest advances in the dynamic field of Information Technology and Computer Application Engineering.

Multi-faceted Deep Learning
Multi-faceted Deep Learning

Author: Jenny Benois-Pineau

Publisher: Springer Nature

Published: 2021-10-20

Total Pages: 321

ISBN-13: 3030744787

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This book covers a large set of methods in the field of Artificial Intelligence - Deep Learning applied to real-world problems. The fundamentals of the Deep Learning approach and different types of Deep Neural Networks (DNNs) are first summarized in this book, which offers a comprehensive preamble for further problem–oriented chapters. The most interesting and open problems of machine learning in the framework of Deep Learning are discussed in this book and solutions are proposed. This book illustrates how to implement the zero-shot learning with Deep Neural Network Classifiers, which require a large amount of training data. The lack of annotated training data naturally pushes the researchers to implement low supervision algorithms. Metric learning is a long-term research but in the framework of Deep Learning approaches, it gets freshness and originality. Fine-grained classification with a low inter-class variability is a difficult problem for any classification tasks. This book presents how it is solved, by using different modalities and attention mechanisms in 3D convolutional networks. Researchers focused on Machine Learning, Deep learning, Multimedia and Computer Vision will want to buy this book. Advanced level students studying computer science within these topic areas will also find this book useful.