Multi Modal Data Fusion Based On Embeddings

Author : S. Thoma
Publisher : IOS Press
ISBN 13 : 1643680293
Total Pages : 174 pages
Book Rating : 4.93/5 ( download)

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Download or read book Multi-modal Data Fusion based on Embeddings written by S. Thoma and published by IOS Press. This book was released on 2019-11-06 with total page 174 pages. Available in PDF, EPUB and Kindle. Book excerpt: Many web pages include structured data in the form of semantic markup, which can be transferred to the Resource Description Framework (RDF) or provide an interface to retrieve RDF data directly. This RDF data enables machines to automatically process and use the data. When applications need data from more than one source the data has to be integrated, and the automation of this can be challenging. Usually, vocabularies are used to concisely describe the data, but because of the decentralized nature of the web, multiple data sources can provide similar information with different vocabularies, making integration more difficult. This book, Multi-modal Data Fusion based on Embeddings, describes how similar statements about entities can be identified across sources, independent of the vocabulary and data modeling choices. Previous approaches have relied on clean and extensively modeled ontologies for the alignment of statements, but the often noisy data in a web context does not necessarily adhere to these prerequisites. In this book, the use of RDF label information of entities is proposed to tackle this problem. In combination with embeddings, the use of label information allows for a better integration of noisy data, something that has been empirically confirmed by experiment. The book presents two main scientific contributions: the vocabulary and modeling agnostic fusion approach on the purely textual label information, and the combination of three different modalities into one multi-modal embedding space for a more human-like notion of similarity. The book will be of interest to all those faced with the problem of processing data from multiple web-based sources.

Author : Steffen Thoma
Publisher :
ISBN 13 : 9783898387460
Total Pages : pages
Book Rating : 4.61/5 ( download)

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Download or read book Multi-modal Data Fusion Based on Embeddings written by Steffen Thoma and published by . This book was released on 2018 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Author : Hua Xu
Publisher : Springer Nature
ISBN 13 : 9819957761
Total Pages : 278 pages
Book Rating : 4.67/5 ( download)

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Download or read book Multi-Modal Sentiment Analysis written by Hua Xu and published by Springer Nature. This book was released on 2023-11-26 with total page 278 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Author : Michael Yang
Publisher : Academic Press
ISBN 13 : 0128173599
Total Pages : 422 pages
Book Rating : 4.96/5 ( download)

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Download or read book Multimodal Scene Understanding written by Michael Yang and published by Academic Press. This book was released on 2019-07-16 with total page 422 pages. Available in PDF, EPUB and Kindle. Book excerpt: Multimodal Scene Understanding: Algorithms, Applications and Deep Learning presents recent advances in multi-modal computing, with a focus on computer vision and photogrammetry. It provides the latest algorithms and applications that involve combining multiple sources of information and describes the role and approaches of multi-sensory data and multi-modal deep learning. The book is ideal for researchers from the fields of computer vision, remote sensing, robotics, and photogrammetry, thus helping foster interdisciplinary interaction and collaboration between these realms. Researchers collecting and analyzing multi-sensory data collections – for example, KITTI benchmark (stereo+laser) - from different platforms, such as autonomous vehicles, surveillance cameras, UAVs, planes and satellites will find this book to be very useful. Contains state-of-the-art developments on multi-modal computing Shines a focus on algorithms and applications Presents novel deep learning topics on multi-sensor fusion and multi-modal deep learning

Author : Blaž Škrlj
Publisher : Springer Nature
ISBN 13 : 3031570162
Total Pages : 78 pages
Book Rating : 4.62/5 ( download)

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Download or read book From Unimodal to Multimodal Machine Learning written by Blaž Škrlj and published by Springer Nature. This book was released on with total page 78 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Author : Yap Bee Wah
Publisher : Springer Nature
ISBN 13 : 9819702933
Total Pages : 574 pages
Book Rating : 4.30/5 ( download)

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Download or read book Data Science and Emerging Technologies written by Yap Bee Wah and published by Springer Nature. This book was released on with total page 574 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Author : Jaques Blanc-Talon
Publisher : Springer Nature
ISBN 13 : 3031453824
Total Pages : 397 pages
Book Rating : 4.23/5 ( download)

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Download or read book Advanced Concepts for Intelligent Vision Systems written by Jaques Blanc-Talon and published by Springer Nature. This book was released on 2023-12-15 with total page 397 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the proceedings of the 21st International Conference on Advanced Concepts for Intelligent Vision Systems, ACIVS 2023, held in Kumamoto, Japan, during August 2023. The 31 papers presented in this volume were carefully reviewed and selected from a total of 48 submissions. They were organized in topical sections named: Computer Vision, Affective Computing and Human Interactions, Managing the Biodiversity, Robotics and Drones, Machine Learning.

Author : Yue Xu
Publisher : Springer Nature
ISBN 13 : 9811685312
Total Pages : 245 pages
Book Rating : 4.16/5 ( download)

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Download or read book Data Mining written by Yue Xu and published by Springer Nature. This book was released on 2021-12-08 with total page 245 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 19th Australasian Conference on Data Mining, AusDM 2021, held in Brisbane, Queensland, Australia, in December 2021.* The 16 revised full papers presented were carefully reviewed and selected from 32 submissions. The papers are organized in sections on research track and application track. *Due to the COVID-19 pandemic the conference was held online.

Author : Srinidhi Hiriyannaiah
Publisher : CRC Press
ISBN 13 : 1000880427
Total Pages : 181 pages
Book Rating : 4.27/5 ( download)

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Download or read book Cloud-based Multi-Modal Information Analytics written by Srinidhi Hiriyannaiah and published by CRC Press. This book was released on 2023-06-29 with total page 181 pages. Available in PDF, EPUB and Kindle. Book excerpt: Cloud based Multi-Modal Information Analytics: A Hands-on Approach discusses the various modalities of data and provide an aggregated solution using cloud. It includes the fundamentals of neural networks, different types and how they can be used for the multi-modal information analytics. The various application areas that are image-centric and videos are also presented with deployment solutions in the cloud. Features Life cycle of the multi- modal data analytics is discussed with applications of modalities of text, image, and video. Deep Learning fundamentals and architectures covering convolutional Neural Networks, recurrremt neural networks, and types of learning for different multi-modal networks. Applications of Multi-Modal Analytics covering Text , Speech, and Image. This book is aimed at researchers in Multi-modal analytics and related areas

Author : Siuly Siuly
Publisher : Springer Nature
ISBN 13 : 3030908852
Total Pages : 272 pages
Book Rating : 4.50/5 ( download)

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Download or read book Health Information Science written by Siuly Siuly and published by Springer Nature. This book was released on 2021-11-09 with total page 272 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the proceedings of the 10th International Conference on Health Information Science, HIS 2021, which took place in Melbourne, Australia, in October 2021. The 16 full papers and 7 short papers presented in this volume were carefully reviewed and selected from 56 submissions. They are organized in topical sections named: COVID-19, EEG data processing, Medical Data Analysis, Medical Record Mining (I), Medical Data Mining (II), Medical Data Processing.