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Video Analytics. Face and Facial Expression Recognition - Third International Workshop, FFER 2018, and Second International Workshop, DLPR 2018, Beijing, China, August 20, 2018, Revised Selected Papers (Paperback, 1st ed. 2019)
Xiang Bai, Yi Fang, Yangqing Jia, Meina Kan, Shiguang Shan, …
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R1,539
Discovery Miles 15 390
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Ships in 10 - 15 working days
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This book constitutes the proceedings of the Third Workshop on Face
and Facial Expression Recognition from Real World Videos, FFER
2018, and the Second International Workshop on Deep Learning for
Pattern Recognition, DLPR 2018, held at the 24th International
Conference on Pattern Recognition, ICPR 2018, in Beijing, China, in
August 2018. The 7 papers presented in this volume were carefully
reviewed and selected from 9 submissions. They deal with topics
such as histopathological images, action recognition, scene text
detection, speech recognition, object classification, presentation
attack detection, and driver drowsiness detection.
The massive daily overflow of electronic data to information
seekers creates the need for better ways to digest and organize
this information to make it understandable and useful. Text mining,
a variation of data mining, extracts desired information from
large, unstructured text collections stored in electronic
forms.""The Handbook of Research on Text and Web Mining
Technologies"" is the first comprehensive reference to the state of
research in the field of text mining, serving a pivotal role in
educating practitioners in the field. This compendium of pioneering
studies from leading experts is essential to academic reference
collections and introduces researchers and students to cutting-edge
techniques for gaining knowledge discovery from unstructured
text.This title features 47 authoritative contributions by over 80
of the world's leading experts in text and Web mining technologies
from 16 countries. It presents a comprehensive coverage of each
specific topic, highlighting recent trends and describing the
latest advances in the field. It contains more than 1,000
references to existing literature and research on text and Web
mining technologies. It also presents a compendium of over 270 key
terms with detailed definitions. The title is organized by topic
and indexed, making it a convenient method of reference for all
IT/IS scholars and professionals. It offers cross-referencing of
key terms, figures, and information pertinent to text and Web
mining technologies.
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