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	Tan, Kian     Options: All Media Types Journals Proceedings Div Books Whole Books Other Date Reviewed Title Author Publisher Published Date Descending Ascending Date Reviewed     1 - 4 of 4 reviews       epiC: an extensible and scalable system for processing big data Jiang D., Wu S., Chen G., Ooi B., Tan K., Xu J. The VLDB Journal: The International Journal on Very Large Data Bases 25(1): 3-26, 2016.  Type: Article Addressing the problem of performance while processing big data, the authors propose a new programming model, named epiC, that deals with the problem of data variety, for example when data arrives at the evaluation engine as a mix of s...... Sep 27 2016     SINGA: putting deep learning in the hands of multimedia users Wang W., Chen G., Dinh A., Gao J., Ooi B., Tan K., Wang S.  MM 2015 (Proceedings of the 23rd Annual ACM Conference on Multimedia, Brisbane, Australia, Oct 26-30, 2015) 25-34, 2015.  Type: Proceedings Deep learning is an aspect of machine learning that attempts, through algorithms, to model complex abstractions in data. A research goal is to create architectures to achieve this with masses of uncharacterized data. This research pape...... Dec 14 2015      Query answer authentication Pang H., Tan K., Morgan&Claypool Publishers, San Rafael, CA, 2012. 104 pp.  Type: Book (978-1-608457-65-6) Query response authentication focuses on defining the correctness of a query’s answer. It considers the query response in terms of completeness and authenticity, among other things. For example, a query response about the res...... Dec 3 2012     A novel framework for efficient automated singer identification in large music databases Shen J., Shepherd J., Cui B., Tan K. ACM Transactions on Information Systems 27(3): 1-31, 2009.  Type: Article It is very difficult to automate the recognition of music and musicians by content rather than bibliographical detail. Recent work to identify a singer uses voice data, often abstracted from a more complicated musical source, as the mo...... Jun 1 2010
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