Author: Chung-Sheng Li

Publication Overview

Publication period start: 1999
Number of co-authors: 13

Co-Authors

Number of publications with favourite co-authors

Productive Colleagues

Most productive colleagues in number of publications

Publications

Li, Chung-Sheng, Yu, Philip S., Castelli, Vittorio (1998): MALM: A Framework for Mining Sequence Database at Multiple Abstraction Levels. In: Gardarin, Georges, French, James C., Pissinou, Niki (eds.) Proceedings of the 1998 ACM CIKM International Conference on Information and Knowledge Management November 3-7, 1998, Bethesda, Maryland, USA. pp. 267-272. https://doi.acm.org/10.1145/288627.288666
Smith, John R., Li, Chung-Sheng (1999): An Adaptive View Element Framework for Multi-Dimensional Data Management. In: Proceedings of the 1999 ACM CIKM International Conference on Information and Knowledge Management November 2-6, 1999, Kansas City, Missouri, USA. pp. 308-315. https://doi.acm.org/10.1145/319950.320021
Thomasian, Alexander, Castelli, Vittorio, Li, Chung-Sheng (1998): Clustering and Singular Value Decomposition for Approximate Indexing in High Dimensional S. In: Gardarin, Georges, French, James C., Pissinou, Niki (eds.) Proceedings of the 1998 ACM CIKM International Conference on Information and Knowledge Management November 3-7, 1998, Bethesda, Maryland, USA. pp. 201-207. https://doi.acm.org/10.1145/288627.288658
Chang, Shih-Fu, Auffret, Gwendal, Foote, Jonathan, Li, Chung-Sheng, Shahraray, Behzad, Syeda-Mahmood, Tanveer Fathima, Zhang, Hongjiang (1999): Multimedia access and retrieval: the state of the art and future directions (panel session. In: ACM Multimedia 1999 , 1999, . pp. 443-445. https://doi.acm.org/10.1145/319463.319684
Chen, Ming-Syan, Hsiao, Hui-I, Li, Chung-Sheng, Yu, Philip S. (1995): Using Rotational Mirrored Declustering for Replica Placement in a Disk-Array-Based Video S. In: ACM Multimedia 1995 , 1995, . pp. 121-130. https://doi.acm.org/10.1145/217279.215257
Smith, John R., Mohan, Rakesh, Li, Chung-Sheng (1999): Scalable multimedia delivery for pervasive computing. In: ACM Multimedia 1999 , 1999, . pp. 131-140. https://doi.acm.org/10.1145/319463.319480
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