Visual Pattern Discovery and Recognition / SpringerBriefs in Computer Science (PDF)
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This book presents a systematic study of visual pattern discovery, from unsupervised to semi-supervised manner approaches, and from dealing with a single feature to multiple types of features. Furthermore, it discusses the potential applications of discovering visual patterns for visual data analytics, including visual search, object and scene recognition.
It is intended as a reference book for advanced undergraduates or postgraduate students who are interested in visual data analytics, enabling them to quickly access the research world and acquire a systematic methodology rather than a few isolated techniques to analyze visual data with large variations. It is also inspiring for researchers working in computer vision and pattern recognition fields. Basic knowledge of linear algebra, computer vision and pattern recognition would be helpful to readers.
Chaoqun Weng received his B.E. degree in Computer Science and Technology from Nankai University, China, in 2010. He is currently pursuing his Ph.D. degree at the School of Electrical & Electronics Engineering, Nanyang Technological University, Singapore. His research interests include computer vision and machine learning.
Junsong Yuan received his Ph.D. from Northwestern University and M.Eng. from the National University of Singapore. Before that, he graduated from the Special Class for the Gifted Young of Huazhong University of Science and Technology in China. He is currently an associate professor and program director of video analytics at the School of Electrical and Electronics Engineering, Nanyang Technological University (NTU). He serves as guest editor of International Journal of Computer Vision (IJCV), and is currently an associate editor of IEEE Trans. on Image Processing (T-IP), IEEE Trans. on Circuits and Systems for Video Technology (T-CSVT) and The Visual Computer journal (TVC). He also serves as area chair of various conferences including CVPR/ACCV/WACV/ICPR/ICME. He received Best Paper Award from IEEE Trans. on Multimedia, the Doctoral Spotlight Award from IEEE Conf. on Computer Vision and Pattern Recognition (CVPR'09), a Nanyang Assistant Professorship from NTU, and Outstanding EECS Ph.D. Thesis award from
- Autoren: Hongxing Wang , Chaoqun Weng , Junsong Yuan
- 2017, 1st ed. 2017, 87 Seiten, Englisch
- Verlag: Springer-Verlag GmbH
- ISBN-10: 9811048401
- ISBN-13: 9789811048401
- Erscheinungsdatum: 14.06.2017
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- Dateiformat: PDF
- Größe: 4.67 MB
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