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	Chen, Shu     Options: All Media Types Journals Proceedings Div Books Whole Books Other Date Reviewed Title Author Publisher Published Date Descending Ascending Date Reviewed     1 - 5 of 5 reviews        A survey on deep learning: algorithms, techniques, and applications Pouyanfar S., Sadiq S., Yan Y., Tian H., Tao Y., Reyes M., Shyu M., Chen S., Iyengar S. ACM Computing Surveys 51(5): 1-36, 2018.  Type: Article Deep learning (DL) algorithms, characterized by mapping from input to output (labels or classes) with multiple hidden layers in between, have revived the excitement of artificial intelligence (AI) to get closer to its initial vision of...... Oct 16 2020     Multimedia big data analytics: a survey Pouyanfar S., Yang Y., Chen S., Shyu M., Iyengar S. ACM Computing Surveys 51(1): 1-34, 2018.  Type: Article Big data continues to grow exponentially. One source of that growth--multimedia data--has not received comprehensive study. The authors correct this deficit by presenting the results of a broad multidimensional survey...... Jan 16 2019     Computational health informatics in the big data age: a survey Fang R., Pouyanfar S., Yang Y., Chen S., Iyengar S. ACM Computing Surveys 49(1): 1-36, 2016.  Type: Article Global information and communications technology (ICT) resources have been changing lives; fast networks and mobile devices offer “always-on” services, extending the possibilities of personal computers (PCs). Beside...... Sep 21 2016     Computational intelligence in economics and finance: volume II Chen S., Wang P., Kuo T., Springer-Verlag New York, Inc., Secaucus, NJ, 2007. 228 pp.  Type: Book (9783540728207) The increasing use of computational intelligence (CI) has led to a growing interest in the subject. What is CI and what is its relationship to economics and finance? If you are interested in finding the answer to this question, you mig...... May 21 2008     A unified framework for image database clustering and content-based retrieval Shyu M., Chen S., Chen M., Zhang C.  Multimedia databases (Proceedings of the 2nd ACM International Workshop on Multimedia Databases, Washington, DC, USA, Nov 13, 2004) 19-27, 2004.  Type: Proceedings A unified framework to support image database clustering and content-based image retrieval is proposed by the authors. For this purpose, they use the Markov model mediators (MMMs) mechanism to facilitate conceptual clustering. A MMM (t...... Jan 31 2005
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