Multimodal analytics for next-generation big data technologies and applications / editors, Kah Phooi Seng, Li-minn Ang. Alan Wee-Chung Liew nd Junbin Gao
نوع المادة : نصاللغة: الإنجليزية الناشر:Cham, Switzerland : Springer, 2019وصف:xv, 391 pages : illustrations ; 24 cmنوع المحتوى:- text
- unmediated
- volume
- 9783319975979
- 9783319975986
- 3319975986
- QA76.9.B45 M8585 2019
نوع المادة | المكتبة الحالية | رقم الطلب | رقم النسخة | حالة | تاريخ الإستحقاق | الباركود | |
---|---|---|---|---|---|---|---|
كتاب | UAE Federation Library | مكتبة اتحاد الإمارات General Collection | المجموعات العامة | QA76.9.B45 M8585 2019 (إستعراض الرف(يفتح أدناه)) | C.1 | Library Use Only | داخل المكتبة فقط | 30020000208147 | ||
كتاب | UAE Federation Library | مكتبة اتحاد الإمارات General Collection | المجموعات العامة | QA76.9.B45 M8585 2019 (إستعراض الرف(يفتح أدناه)) | C.2 | المتاح | 30020000208146 |
Browsing UAE Federation Library | مكتبة اتحاد الإمارات shelves, Shelving location: General Collection | المجموعات العامة إغلاق مستعرض الرف(يخفي مستعرض الرف)
QA76.9.B45 K35 2017 Big data computing : A guide for business and technology managers / | QA76.9.B45 K35 2017 Big data computing : A guide for business and technology managers / | QA76.9.B45 M8585 2019 Multimodal analytics for next-generation big data technologies and applications / | QA76.9.B45 M8585 2019 Multimodal analytics for next-generation big data technologies and applications / | QA76.9.B45 R34 2019 Big data : a tutorial-based approach / | QA76.9.B45 R34 2019 Big data : a tutorial-based approach / | QA76.9.B56 B54 2019 Blockchain and Web 3.0 : social, economic, and technological challenges / |
Includes bibliographical references
Foundations and Principles -- Advanced Information and Knowledge Processing -- Advanced Models and Architectures -- Advanced Applications and Future Trends
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