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Co event with Department Colloquium

Hashing for Semantic Large-Scale Image Retrieval in Non-Stationary Environments

Dr. Wing W. Y. Ng
Professor
School of Computer Science and Engineering
South China University of Technology

Time: August 19th, 1:00pm to 3:00 pm

Location: Conference room 755 of Computer Science Department

A very large volume of images is uploaded to the Internet daily. Hashing methods provide efficient image retrieval results with sublinear time complexity. However, current hashing methods for image retrieval are designed for static databases only. They fail to consider the fact that the distribution of images can change when new images are added to the database over time. Changes in the distribution include both the discovery of new classes and changes to the distribution of images within a class owing to concept drifting. In this seminar, a brief introduction to hashing methods for large-scale image retrieval will be given. Then, new research results on hashing for non-stationary environments will be explored.

About the Speaker: Dr. Wing W. Y. Ng received his B.Sc. and Ph.D. degrees from Hong Kong Polytechnic University in 2001 and 2006, respectively. He is now a Professor with the School of Computer Science and Engineering, South China University of Technology, China. His major research interests are machine learning and image retrieval in big data and non-stationary environments. Prof. Ng has published 20+ journal papers in IEEE Transactions on Neural Networks, IEEE Transactions on Cybernetics, IEEE Transactions on Multimedia, etc. His works have been cited 1000+ times and his h-index is 16 (Google Scholar). His IEEE TNN publication proposing the localized generalization error model for neural networks has been cited 100+ times. He is the principal investigator for three China National Natural Science Foundation projects and the Program for New Century Excellent Talents in University from the China Ministry of Education. Prof. Ng is currently an associate editor of the International Journal of Machine Learning and Cybernetics. He is an IEEE senior member and served on the Board of Governors of the IEEE Systems, Man and Cybernetics Society (SMCS) during 2011–2013.

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