Intelligent Multi Modal Data Processing

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Intelligent Multi-Modal Data Processing

Soham Sarkar,Abhishek Basu,Siddhartha Bhattacharyya
Intelligent Multi Modal Data Processing Book PDF

Author : Soham Sarkar,Abhishek Basu,Siddhartha Bhattacharyya
Publisher : John Wiley & Sons
Page : 292 pages
File Size : 44,6 Mb
Release : 2021-04-08
Category : Technology & Engineering
ISBN : 9781119571438

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Intelligent Multi-Modal Data Processing by Soham Sarkar,Abhishek Basu,Siddhartha Bhattacharyya Pdf

A comprehensive review of the most recent applications of intelligent multi-modal data processing Intelligent Multi-Modal Data Processing contains a review of the most recent applications of data processing. The Editors and contributors noted experts on the topic offer a review of the new and challenging areas of multimedia data processing as well as state-of-the-art algorithms to solve the problems in an intelligent manner. The text provides a clear understanding of the real-life implementation of different statistical theories and explains how to implement various statistical theories. Intelligent Multi-Modal Data Processing is an authoritative guide for developing innovative research ideas for interdisciplinary research practices. Designed as a practical resource, the book contains tables to compare statistical analysis results of a novel technique to that of the state-of-the-art techniques and illustrations in the form of algorithms to establish a pre-processing and/or post-processing technique for model building. The book also contains images that show the efficiency of the algorithm on standard data set. This important book: Includes an in-depth analysis of the state-of-the-art applications of signal and data processing Contains contributions from noted experts in the field Offers information on hybrid differential evolution for optimal multilevel image thresholding Presents a fuzzy decision based multi-objective evolutionary method for video summarisation Written for students of technology and management, computer scientists and professionals in information technology, Intelligent Multi-Modal Data Processing brings together in one volume the range of multi-modal data processing.

Intelligent Multi-Modal Data Processing

Soham Sarkar,Abhishek Basu,Siddhartha Bhattacharyya
Intelligent Multi Modal Data Processing Book PDF

Author : Soham Sarkar,Abhishek Basu,Siddhartha Bhattacharyya
Publisher : John Wiley & Sons
Page : 292 pages
File Size : 43,9 Mb
Release : 2021-04-05
Category : Technology & Engineering
ISBN : 9781119571384

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Intelligent Multi-Modal Data Processing by Soham Sarkar,Abhishek Basu,Siddhartha Bhattacharyya Pdf

A comprehensive review of the most recent applications of intelligent multi-modal data processing Intelligent Multi-Modal Data Processing contains a review of the most recent applications of data processing. The Editors and contributors – noted experts on the topic – offer a review of the new and challenging areas of multimedia data processing as well as state-of-the-art algorithms to solve the problems in an intelligent manner. The text provides a clear understanding of the real-life implementation of different statistical theories and explains how to implement various statistical theories. Intelligent Multi-Modal Data Processing is an authoritative guide for developing innovative research ideas for interdisciplinary research practices. Designed as a practical resource, the book contains tables to compare statistical analysis results of a novel technique to that of the state-of-the-art techniques and illustrations in the form of algorithms to establish a pre-processing and/or post-processing technique for model building. The book also contains images that show the efficiency of the algorithm on standard data set. This important book: Includes an in-depth analysis of the state-of-the-art applications of signal and data processing Contains contributions from noted experts in the field Offers information on hybrid differential evolution for optimal multilevel image thresholding Presents a fuzzy decision based multi-objective evolutionary method for video summarisation Written for students of technology and management, computer scientists and professionals in information technology, Intelligent Multi-Modal Data Processing brings together in one volume the range of multi-modal data processing.

Multimodal Analytics for Next-Generation Big Data Technologies and Applications

Kah Phooi Seng,Li-minn Ang,Alan Wee-Chung Liew,Junbin Gao
Multimodal Analytics for Next Generation Big Data Technologies and Applications Book PDF

Author : Kah Phooi Seng,Li-minn Ang,Alan Wee-Chung Liew,Junbin Gao
Publisher : Springer
Page : 391 pages
File Size : 45,6 Mb
Release : 2019-07-18
Category : Computers
ISBN : 9783319975986

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Multimodal Analytics for Next-Generation Big Data Technologies and Applications by Kah Phooi Seng,Li-minn Ang,Alan Wee-Chung Liew,Junbin Gao Pdf

This edited book will serve as a source of reference for technologies and applications for multimodality data analytics in big data environments. After an introduction, the editors organize the book into four main parts on sentiment, affect and emotion analytics for big multimodal data; unsupervised learning strategies for big multimodal data; supervised learning strategies for big multimodal data; and multimodal big data processing and applications. The book will be of value to researchers, professionals and students in engineering and computer science, particularly those engaged with image and speech processing, multimodal information processing, data science, and artificial intelligence.

Application of Intelligent Systems in Multi-modal Information Analytics

Vijayan Sugumaran,A. G. Sreedevi,Zheng Xu
Application of Intelligent Systems in Multi modal Information Analytics Book PDF

Author : Vijayan Sugumaran,A. G. Sreedevi,Zheng Xu
Publisher : Springer Nature
Page : 1075 pages
File Size : 54,6 Mb
Release : 2022-05-07
Category : Technology & Engineering
ISBN : 9783031052378

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Application of Intelligent Systems in Multi-modal Information Analytics by Vijayan Sugumaran,A. G. Sreedevi,Zheng Xu Pdf

This book provides comprehensive coverage of the latest advances and trends in information technology, science, and engineering. Specifically, it addresses a number of broad themes, including multimodal informatics, data mining, agent-based and multi-agent systems for health and education informatics, which inspire the development of intelligent information technologies. The contributions cover a wide range of topics such as AI applications and innovations in health and education informatics; data and knowledge management; multimodal application management; and web/social media mining for multimodal informatics. Outlining promising future research directions, the book is a valuable resource for students, researchers, and professionals and a useful reference guide for newcomers to the field. This book is a compilation of the papers presented in the 4th International Conference on Multi-modal Information Analytics, held online, on April 23, 2022.

Application of Intelligent Systems in Multi-modal Information Analytics

Vijayan Sugumaran,Zheng Xu,Huiyu Zhou
Application of Intelligent Systems in Multi modal Information Analytics Book PDF

Author : Vijayan Sugumaran,Zheng Xu,Huiyu Zhou
Publisher : Springer Nature
Page : 970 pages
File Size : 47,5 Mb
Release : 2021-04-16
Category : Technology & Engineering
ISBN : 9783030748142

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Application of Intelligent Systems in Multi-modal Information Analytics by Vijayan Sugumaran,Zheng Xu,Huiyu Zhou Pdf

This book provides comprehensive coverage of the latest advances and trends in information technology, science and engineering. Specifically, it addresses a number of broad themes, including multi-modal informatics, data mining, agent-based and multi-agent systems for health and education informatics, which inspire the development of intelligent information technologies. The contributions cover a wide range of topics such as AI applications and innovations in health and education informatics; data and knowledge management; multi-modal application management; and web/social media mining for multi-modal informatics. Outlining promising future research directions, the book is a valuable resource for students, researchers and professionals, and a useful reference guide for newcomers to the field. This book is a compilation of the papers presented in the 2021 International Conference on Multi-modal Information Analytics, held in Huhehaote, China, on April 23–24, 2021.

Multi-Modal Sentiment Analysis

Hua Xu
Multi Modal Sentiment Analysis Book PDF

Author : Hua Xu
Publisher : Springer Nature
Page : 278 pages
File Size : 41,6 Mb
Release : 2023-11-26
Category : Technology & Engineering
ISBN : 9789819957767

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Multi-Modal Sentiment Analysis by Hua Xu Pdf

The natural interaction ability between human and machine mainly involves human-machine dialogue ability, multi-modal sentiment analysis ability, human-machine cooperation ability, and so on. To enable intelligent computers to have multi-modal sentiment analysis ability, it is necessary to equip them with a strong multi-modal sentiment analysis ability during the process of human-computer interaction. This is one of the key technologies for efficient and intelligent human-computer interaction. This book focuses on the research and practical applications of multi-modal sentiment analysis for human-computer natural interaction, particularly in the areas of multi-modal information feature representation, feature fusion, and sentiment classification. Multi-modal sentiment analysis for natural interaction is a comprehensive research field that involves the integration of natural language processing, computer vision, machine learning, pattern recognition, algorithm, robot intelligent system, human-computer interaction, etc. Currently, research on multi-modal sentiment analysis in natural interaction is developing rapidly. This book can be used as a professional textbook in the fields of natural interaction, intelligent question answering (customer service), natural language processing, human-computer interaction, etc. It can also serve as an important reference book for the development of systems and products in intelligent robots, natural language processing, human-computer interaction, and related fields.

Application of Intelligent Systems in Multi-modal Information Analytics

Vijayan Sugumaran,Zheng Xu,Huiyu Zhou
Application of Intelligent Systems in Multi modal Information Analytics Book PDF

Author : Vijayan Sugumaran,Zheng Xu,Huiyu Zhou
Publisher : Springer Nature
Page : 815 pages
File Size : 49,6 Mb
Release : 2020-07-23
Category : Technology & Engineering
ISBN : 9783030514310

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Application of Intelligent Systems in Multi-modal Information Analytics by Vijayan Sugumaran,Zheng Xu,Huiyu Zhou Pdf

This book presents the proceedings of the 2020 International Conference on Intelligent Systems Applications in Multi-modal Information Analytics, held in Changzhou, China, on June 18–19, 2020. It provides comprehensive coverage of the latest advances and trends in information technology, science and engineering. It addresses a number of broad themes, including data mining, multi-modal informatics, agent-based and multi-agent systems for health and education informatics, which inspire the development of intelligent information technologies. The contributions cover a wide range of topics such as AI applications and innovations in health and education informatics; data and knowledge management; multi-modal application management; and web/social media mining for multi-modal informatics. Outlining promising future research directions, the book is a valuable resource for students, researchers and professionals, and a useful reference guide for newcomers to the field.

Application of Intelligent Systems in Multi-modal Information Analytics

Vijayan Sugumaran,Zheng Xu,Huiyu Zhou
Application of Intelligent Systems in Multi modal Information Analytics Book PDF

Author : Vijayan Sugumaran,Zheng Xu,Huiyu Zhou
Publisher : Springer Nature
Page : 870 pages
File Size : 54,8 Mb
Release : 2020-07-20
Category : Technology & Engineering
ISBN : 9783030515560

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Application of Intelligent Systems in Multi-modal Information Analytics by Vijayan Sugumaran,Zheng Xu,Huiyu Zhou Pdf

This book presents the proceedings of the 2020 International Conference on Intelligent Systems Applications in Multi-modal Information Analytics, held in Changzhou, China, on June 18–19, 2020. It provides comprehensive coverage of the latest advances and trends in information technology, science and engineering. It addresses a number of broad themes, including data mining, multi-modal informatics, agent-based and multi-agent systems for health and education informatics, which inspire the development of intelligent information technologies. The contributions cover a wide range of topics such as AI applications and innovations in health and education informatics; data and knowledge management; multi-modal application management; and web/social media mining for multi-modal informatics. Outlining promising future research directions, the book is a valuable resource for students, researchers and professionals, and a useful reference guide for newcomers to the field.

Application of Intelligent Systems in Multi-modal Information Analytics

Vijayan Sugumaran,A. G. Sreedevi,Zheng Xu
Application of Intelligent Systems in Multi modal Information Analytics Book PDF

Author : Vijayan Sugumaran,A. G. Sreedevi,Zheng Xu
Publisher : Springer Nature
Page : 1132 pages
File Size : 40,5 Mb
Release : 2022-06-13
Category : Technology & Engineering
ISBN : 9783031054846

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Application of Intelligent Systems in Multi-modal Information Analytics by Vijayan Sugumaran,A. G. Sreedevi,Zheng Xu Pdf

This book provides comprehensive coverage of the latest advances and trends in information technology, science and engineering. Specifically, it addresses a number of broad themes, including multi-modal informatics, data mining, agent-based and multi-agent systems for health and education informatics, which inspire the development of intelligent information technologies. The book covers a wide range of topics such as AI applications and innovations in health and education informatics; data and knowledge management; multi-modal application management; and web/social media mining for multi-modal informatics. Outlining promising future research directions, the book is a valuable resource for students, researchers and professionals and a useful reference guide for newcomers to the field. This book is a compilation of the papers presented in the 4th International Conference on Multi-modal Information Analytics, held online, on April 23, 2022.

Application of Intelligent Systems in Multi-modal Information Analytics

Vijayan Sugumaran,Zheng Xu,Huiyu Zhou
Application of Intelligent Systems in Multi modal Information Analytics Book PDF

Author : Vijayan Sugumaran,Zheng Xu,Huiyu Zhou
Publisher : Springer Nature
Page : 955 pages
File Size : 47,9 Mb
Release : 2021-04-20
Category : Technology & Engineering
ISBN : 9783030748111

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Application of Intelligent Systems in Multi-modal Information Analytics by Vijayan Sugumaran,Zheng Xu,Huiyu Zhou Pdf

This book provides comprehensive coverage of the latest advances and trends in information technology, science and engineering. Specifically, it addresses a number of broad themes, including multi-modal informatics, data mining, agent-based and multi-agent systems for health and education informatics, which inspire the development of intelligent information technologies. The contributions cover a wide range of topics such as AI applications and innovations in health and education informatics; data and knowledge management; multi-modal application management; and web/social media mining for multi-modal informatics. Outlining promising future research directions, the book is a valuable resource for students, researchers and professionals, and a useful reference guide for newcomers to the field. This book is a compilation of the papers presented in the 2021 International Conference on Multi-modal Information Analytics, held in Huhehaote, China, on April 23–24, 2021.

Application of Intelligent Systems in Multi-modal Information Analytics

Vijayan Sugumaran,Zheng Xu,Shankar P.,Huiyu Zhou
Application of Intelligent Systems in Multi modal Information Analytics Book PDF

Author : Vijayan Sugumaran,Zheng Xu,Shankar P.,Huiyu Zhou
Publisher : Unknown
Page : 1513 pages
File Size : 48,9 Mb
Release : 2019
Category : Artificial intelligence
ISBN : 3030157393

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Application of Intelligent Systems in Multi-modal Information Analytics by Vijayan Sugumaran,Zheng Xu,Shankar P.,Huiyu Zhou Pdf

This book presents the proceedings of the 2019 International Conference on Intelligent Systems Applications in Multi-modal Information Analytics, held in Shenyang, China on February 19-20, 2019. It provides comprehensive coverage of the latest advances and trends in information technology, science and engineering, addressing a number of broad themes, including data mining, multi-modal informatics, agent-based and multi-agent systems for health and education informatics, which inspire the development of intelligent information technologies. The contributions cover a wide range of topics: AI applications and innovations in health and education informatics; data and knowledge management; multi-modal application management; and web/social media mining for multi-modal informatics. Outlining promising future research directions, the book is a valuable resource for students, researchers and professionals, and provides a useful reference guide for newcomers to the field.

Multimodal Machine Learning

Santosh Kumar,Sanjay Kumar Singh
Multimodal Machine Learning Book PDF

Author : Santosh Kumar,Sanjay Kumar Singh
Publisher : Academic Press
Page : 375 pages
File Size : 46,7 Mb
Release : 2021-05-15
Category : Computers
ISBN : 0128237376

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Multimodal Machine Learning by Santosh Kumar,Sanjay Kumar Singh Pdf

Multimodal Machine Learning: Techniques and Applications explains recent advances in multimodal machine learning, providing a coherent set of fundamentals for designing efficient multimodal learning algorithms for different applications. The book addresses the main challenges in multimodal machine learning based computing paradigms, including multimodal representation learning, translation and mapping, modality alignment, multimodal fusion and co-learning. The book also explores the important texture feature descriptors based on recognition and transform techniques. It is ideal for senior undergraduates, graduate students, and researchers in data science, engineering, computer science and statistics. Presents new representation, classification and identification algorithms for data prediction and analysis on feature characteristics Discusses recent and future advancements in diversified fields of computer vision , pattern recognition, generative adversarial network-based learning, video analytics and data science Provides an overview of future research challenges and directions

Multimodal AI in Healthcare

Arash Shaban-Nejad,Martin Michalowski,Simone Bianco
Multimodal AI in Healthcare Book PDF

Author : Arash Shaban-Nejad,Martin Michalowski,Simone Bianco
Publisher : Springer Nature
Page : 417 pages
File Size : 48,5 Mb
Release : 2022-11-28
Category : Technology & Engineering
ISBN : 9783031147715

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Multimodal AI in Healthcare by Arash Shaban-Nejad,Martin Michalowski,Simone Bianco Pdf

This book aims to highlight the latest achievements in the use of AI and multimodal artificial intelligence in biomedicine and healthcare. Multimodal AI is a relatively new concept in AI, in which different types of data (e.g. text, image, video, audio, and numerical data) are collected, integrated, and processed through a series of intelligence processing algorithms to improve performance. The edited volume contains selected papers presented at the 2022 Health Intelligence workshop and the associated Data Hackathon/Challenge, co-located with the Thirty-Sixth Association for the Advancement of Artificial Intelligence (AAAI) conference, and presents an overview of the issues, challenges, and potentials in the field, along with new research results. This book provides information for researchers, students, industry professionals, clinicians, and public health agencies interested in the applications of AI and Multimodal AI in public health and medicine.

Application of Intelligent Systems in Multi-modal Information Analytics

Anonim
Application of Intelligent Systems in Multi modal Information Analytics Book PDF

Author : Anonim
Publisher : Unknown
Page : 869 pages
File Size : 49,8 Mb
Release : 2021
Category : Big data
ISBN : 3030515575

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Application of Intelligent Systems in Multi-modal Information Analytics by Anonim Pdf

This book presents the proceedings of the 2020 International Conference on Intelligent Systems Applications in Multi-modal Information Analytics, held in Changzhou, China, on June 18-19, 2020. It provides comprehensive coverage of the latest advances and trends in information technology, science and engineering. It addresses a number of broad themes, including data mining, multi-modal informatics, agent-based and multi-agent systems for health and education informatics, which inspire the development of intelligent information technologies. The contributions cover a wide range of topics such as AI applications and innovations in health and education informatics; data and knowledge management; multi-modal application management; and web/social media mining for multi-modal informatics. Outlining promising future research directions, the book is a valuable resource for students, researchers and professionals, and a useful reference guide for newcomers to the field.

The Handbook of Multimodal-Multisensor Interfaces, Volume 3

Sharon Oviatt,Björn Schuller,Philip Cohen,Daniel Sonntag,Gerasimos Potamianos,Antonio Krüger
The Handbook of Multimodal Multisensor Interfaces Volume 3 Book PDF

Author : Sharon Oviatt,Björn Schuller,Philip Cohen,Daniel Sonntag,Gerasimos Potamianos,Antonio Krüger
Publisher : Morgan & Claypool
Page : 813 pages
File Size : 42,9 Mb
Release : 2019-06-25
Category : Computers
ISBN : 9781970001730

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The Handbook of Multimodal-Multisensor Interfaces, Volume 3 by Sharon Oviatt,Björn Schuller,Philip Cohen,Daniel Sonntag,Gerasimos Potamianos,Antonio Krüger Pdf

The Handbook of Multimodal-Multisensor Interfaces provides the first authoritative resource on what has become the dominant paradigm for new computer interfaces-user input involving new media (speech, multi-touch, hand and body gestures, facial expressions, writing) embedded in multimodal-multisensor interfaces. This three-volume handbook is written by international experts and pioneers in the field. It provides a textbook, reference, and technology roadmap for professionals working in this and related areas. This third volume focuses on state-of-the-art multimodal language and dialogue processing, including semantic integration of modalities. The development of increasingly expressive embodied agents and robots has become an active test bed for coordinating multimodal dialogue input and output, including processing of language and nonverbal communication. In addition, major application areas are featured for commercializing multimodal-multisensor systems, including automotive, robotic, manufacturing, machine translation, banking, communications, and others. These systems rely heavily on software tools, data resources, and international standards to facilitate their development. For insights into the future, emerging multimodal-multisensor technology trends are highlighted in medicine, robotics, interaction with smart spaces, and similar areas. Finally, this volume discusses the societal impact of more widespread adoption of these systems, such as privacy risks and how to mitigate them. The handbook chapters provide a number of walk-through examples of system design and processing, information on practical resources for developing and evaluating new systems, and terminology and tutorial support for mastering this emerging field. In the final section of this volume, experts exchange views on a timely and controversial challenge topic, and how they believe multimodal-multisensor interfaces need to be equipped to most effectively advance human performance during the next decade.