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Department of Information Analysis & Management - PUBLICATIONS

NEC Labatories America, Inc., Cupertino Campus



[1] Zhu, S., Wang, D., Li, T., Yu, K., and Gong, Y. Feature selection for gene expression using model-based entropy. IEEE/ACM Transactions on Computational Biology and Bioinformatics (2008). preprint.
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[2] Liu, F., Wang, J., Zhu, S., Gleicher, M., and Gong, Y. Noisy video super-resolution. In MM '08: Proceedings of the 16th ACM International Conference on Multimedia (Vancouver, Canada, 2008), pp. 713-716.
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[3] Chi, Y., Zhu, S., Gong, Y., and Zhang, Y. Probabilistic polyadic factorization and its application to personalized recommendation. In CIKM '08: Proceedings of the 17th ACM Conference on Information and Knowledge Management (New York, NY, USA, 2008), ACM, pp. 941-950.
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[4] Wang, D., Zhu, S., Chi, Y., and Li, T. Integrating clustering and multi-document summarization to improve document understanding. In CIKM '08: Proceedings of the 17th ACM Conference on Information and Knowledge Management (New York, NY, USA, 2008), ACM, pp. 1435-1436.
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[5] Zhu, S., Li, T., Chen, Z., Wang, D., and Gong, Y. Dynamic active probing of helpdesk databases. In VLDB '08: Proceedings of the 34th International Conference on Very Large Data Bases (2008), VLDB Endowment, pp. 748-760.
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[6] Sia, K. C., Cho, J., Chi, Y., and Tseng, B. L. Efficient computation of personal aggregate queries on blogs. In KDD '08: Proceeding of the 14th ACM SIGKDD international conference on Knowledge discovery and data mining (New York, NY, USA, 2008), ACM, pp. 632-640.
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[7] Yu, K., Zhu, S., Xu, W., and Gong, Y. trnon-greedy active learning for text categorization using convex ansductive experimental design. In SIGIR '08: Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval (New York, NY, USA, 2008), ACM, pp. 635-642.
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[8] Wang, D., Li, T., Zhu, S., and Ding, C. Multi-document summarization via sentence-level semantic analysis and symmetric matrix factorization. In SIGIR '08: Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval (New York, NY, USA, 2008), ACM, pp. 307-314.
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[9] Lin, Y.-R., Sundaram, H., Chi, Y., Tatemura, J., and Tseng, B. L. Detecting splogs via temporal dynamics using self-similarity analysis. ACM Trans. Web 2, 1 (2008), 1-35.
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[10] Zhou, D., Zhu, S., Yu, K., Song, X., Tseng, B. L., Zha, H., and Giles, C. L. Learning multiple graphs for document recommendations. In WWW '08: Proceeding of the 17th international conference on World Wide Web (New York, NY, USA, 2008), ACM, pp. 141-150.
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[11] Lin, Y.-R., Chi, Y., Zhu, S., Sundaram, H., and Tseng, B. L. Facetnet: a framework for analyzing communities and their evolutions in dynamic networks. In WWW '08: Proceeding of the 17th international conference on World Wide Web (New York, NY, USA, 2008), ACM, pp. 685-694.
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[12] Wang, J., and Gong, Y. Image and video super resolution techniques. In Encyclopedia of Multimedia, 2nd Edition, D. B. Furht, Ed. Springer, 2008.
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[13] Wang, J., and Gong, Y. Fast image super-resolution using connected component enhancement. In ICME '08: IEEE International Conference on Multimedia and Expo (23 2008-April 26 2008), pp. 157-160.
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[14] Wang, J., and Gong, Y. Recognition of multiple drivers' emotional state. In Proc. of International Conference on Pattern Recognition'08 (Florida, USA, 2008).
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[15] Zhu, S., Yu, K., and Gong, Y. Predictive matrix-variate t models. In Advances in Neural Information Processing Systems 20, J. Platt, D. Koller, Y. Singer, and S. Roweis, Eds. MIT Press, Cambridge, MA, 2008, pp. 1721-1728.
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[16] Yu, K., and Chu, W. Gaussian process models for link analysis and transfer learning. In Advances in Neural Information Processing Systems 20, J. Platt, D. Koller, Y. Singer, and S. Roweis, Eds. MIT Press, Cambridge, MA, 2008, pp. 1657-1664.
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[17] Wang, J., Xu, W., Zhu, S., and Gong, Y. Efficient video object segmentation by graph-cut. In ICME '07: IEEE International Conference on Multimedia and Expo (July 2007), pp. 496-499.
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[18] Zhou, Y., Xu, W., Ning, H., Gong, Y., and Huang, T. Detecting unsafe driving patterns using discriminative learning. In Multimedia and Expo, 2007 IEEE International Conference on (July 2007), pp. 1431-1434.
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[19] Dai, S., Han, M., Wu, Y., and Gong, Y. Bilateral back-projection for single image super resolution. In Multimedia and Expo, 2007 IEEE International Conference on (July 2007), pp. 1039-1042.
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[20] Dai, S., Han, M., Xu, W., Wu, Y., and Gong, Y. Soft edge smoothness prior for alpha channel super resolution. In Computer Vision and Pattern Recognition, 2007. CVPR '07. IEEE Conference on (June 2007), pp. 1-8.
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[21] Song, X., Chi, Y., Hino, K., and Tseng, B. L. Information flow modeling based on diffusion rate for prediction and ranking. In WWW '07: Proceedings of the 16th international conference on World Wide Web (New York, NY, USA, 2007), ACM, pp. 191-200.
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[22] Lin, Y.-R., Sundaram, H., Chi, Y., Tatemura, J., and Tseng, B. L. Splog detection using self-similarity analysis on blog temporal dynamics. In AIRWeb '07: Proceedings of the 3rd international workshop on Adversarial information retrieval on the web (New York, NY, USA, 2007), ACM, pp. 1-8.
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[23] Tatemura, J., Sawires, A., Po, O., Chen, S., Candan, K. S., Agrawal, D., and Goveas, M. Mashup feeds: continuous queries over web services. In SIGMOD '07: Proceedings of the 2007 ACM SIGMOD international conference on Management of data (New York, NY, USA, 2007), ACM, pp. 1128-1130.
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[24] Chi, Y., Song, X., Zhou, D., Hino, K., and Tseng, B. L. Evolutionary spectral clustering by incorporating temporal smoothness. In KDD '07: Proceedings of the 13th ACM SIGKDD international conference on Knowledge discovery and data mining (New York, NY, USA, 2007), ACM, pp. 153-162.
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[25] Chi, Y., Zhu, S., Song, X., Tatemura, J., and Tseng, B. L. Structural and temporal analysis of the blogosphere through community factorization. In KDD '07: Proceedings of the 13th ACM SIGKDD international conference on Knowledge discovery and data mining (New York, NY, USA, 2007), ACM, pp. 163-172.
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[26] Kim, J. W., Candan, K. S., and Tatemura, J. Cdip: Collection-driven, yet individuality-preserving automated blog tagging. In ICSC '07: Proceedings of the International Conference on Semantic Computing (Washington, DC, USA, 2007), IEEE Computer Society, pp. 87-94.
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[27] Song, X., Chi, Y., Hino, K., and Tseng, B. Identifying opinion leaders in the blogosphere. In CIKM '07: Proceedings of the sixteenth ACM conference on Conference on information and knowledge management (New York, NY, USA, 2007), ACM, pp. 971-974.
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[28] Tanin, E., Chen, S., Tatemura, J., and Hsiung, W.-P. Application semantics in query optimization for wsns. In SenSys '07: Proceedings of the 5th international conference on Embedded networked sensor systems (New York, NY, USA, 2007), ACM, pp. 435-436.
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[29] Lin, Y.-R., Sundaram, H., Chi, Y., Tatemura, J., and Tseng, B. L. Blog community discovery and evolution based on mutual awareness expansion. In WI '07: Proceedings of the IEEE/WIC/ACM International Conference on Web Intelligence (Washington, DC, USA, 2007), IEEE Computer Society, pp. 48-56.
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[30] Tseng, B. L. Blog analysis and mining technologies to summarize the wisdom of crowds. In MDM '07: Proceedings of the 8th international workshop on Multimedia data mining (New York, NY, USA, 2007), ACM, pp. 1-1.
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[31] Java, A., Song, X., Finin, T., and Tseng, B. Why we twitter: understanding microblogging usage and communities. In WebKDD/SNA-KDD '07: Proceedings of the 9th WebKDD and 1st SNA-KDD 2007 workshop on Web mining and social network analysis (New York, NY, USA, 2007), ACM, pp. 56-65.
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[32] Gong, Y., and Xu, W. Machine Learning for Multimedia Content Analysis (Multimedia Systems and Applications). Springer-Verlag New York, Inc., Secaucus, NJ, USA, 2007.
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[33] Han, M., Xu, W., Tao, H., and Gong, Y. Multi-object trajectory tracking. Mach. Vision Appl. 18, 3 (2007), 221-232.
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[34] Sia, K. C., Zhu, S., Chi, Y., Hino, K., and Tseng, B. L. Capturing user interests by both exploitation and exploration. In UM '07: Proceedings of User Modeling (2007), pp. 334-339.
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[35] Sia, K. C., Cho, J., Hino, K., Chi, Y., Zhu, S., and Tseng, B. L. Monitoring rss feeds based on user browsing pattern. In ICWSM '07: International Conference on Weblogs and Social Media (2007).
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[36] Song, X., Chi, Y., Hino, K., and Tseng, B. L. Summarization system by identifying influential blogs. In Proceedings of the ICWSM (2007), pp. 325-326.
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[37] Zhu, S., Yu, K., Chi, Y., and Gong, Y. Combining content and link for classification using matrix factorization. In SIGIR '07: Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval (New York, NY, USA, 2007), ACM Press, pp. 487-494.
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[38] Ning, H., Xu, W., Gong, Y., and Huang, T. Improving speaker diarization by cross em refinement. In Multimedia and Expo, 2006 IEEE International Conference on (July 2006), pp. 1901-1904.
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[39] Ji, X., Xu, W., and Zhu, S. Document clustering with prior knowledge. In SIGIR '06: Proceedings of the 29th annual international ACM SIGIR conference on Research and development in information retrieval (New York, NY, USA, 2006), ACM, pp. 405-412.
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[40] Song, X., Tseng, B. L., Lin, C.-Y., and Sun, M.-T. Personalized recommendation driven by information flow. In SIGIR '06: Proceedings of the 29th annual international ACM SIGIR conference on Research and development in information retrieval (New York, NY, USA, 2006), ACM, pp. 509-516.
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[41] Li, H.-G., Chen, S., Tatemura, J., Agrawal, D., Candan, K. S., and Hsiung, W.-P. Safety guarantee of continuous join queries over punctuated data streams. In VLDB '06: Proceedings of the 32nd international conference on Very large data bases (2006), VLDB Endowment, pp. 19-30.
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[42] Chen, S., Li, H.-G., Tatemura, J., Hsiung, W.-P., Agrawal, D., and Candan, K. S. Twig2stack: bottom-up processing of generalized-tree-pattern queries over xml documents. In VLDB '06: Proceedings of the 32nd international conference on Very large data bases (2006), VLDB Endowment, pp. 283-294.
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[43] Candan, K. S., Hsiung, W.-P., Chen, S., Tatemura, J., and Agrawal, D. Afilter: adaptable xml filtering with prefix-caching suffix-clustering. In VLDB '06: Proceedings of the 32nd international conference on Very large data bases (2006), VLDB Endowment, pp. 559-570.
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[44] Sawires, A., Tatemura, J., Po, O., Agrawal, D., Abbadi, A. E., and Candan, K. S. Maintaining xpath views in loosely coupled systems. In VLDB '06: Proceedings of the 32nd international conference on Very large data bases (2006), VLDB Endowment, pp. 583-594.
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[45] Han, M., Xu, W., and Gong, Y. Video foreground segmentation based on sequential feature clustering. In ICPR '06: Proceedings of the 18th International Conference on Pattern Recognition (Washington, DC, USA, 2006), IEEE Computer Society, pp. 492-496.
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[46] Kong, D., Han, M., Xu, W., Tao, H., and Gong, Y. A conditional random field model for video super-resolution. In ICPR '06: Proceedings of the 18th International Conference on Pattern Recognition (Washington, DC, USA, 2006), IEEE Computer Society, pp. 619-622.
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[47] Han, M., Xu, W., and Gong, Y. Video object segmentation by motion-based sequential feature clustering. In MULTIMEDIA '06: Proceedings of the 14th annual ACM international conference on Multimedia (New York, NY, USA, 2006), ACM, pp. 773-782.
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[48] Qamra, A., Tseng, B., and Chang, E. Y. Mining blog stories using community-based and temporal clustering. In CIKM '06: Proceedings of the 15th ACM international conference on Information and knowledge management (New York, NY, USA, 2006), ACM, pp. 58-67.
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[49] Chi, Y., Tseng, B. L., and Tatemura, J. Eigen-trend: trend analysis in the blogosphere based on singular value decompositions. In CIKM '06: Proceedings of the 15th ACM international conference on Information and knowledge management (New York, NY, USA, 2006), ACM, pp. 68-77.
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[50] Li, T., Zhang, C., and Zhu, S. Empirical studies on multi-label classification. In ICTAI '06: Proceedings of the 18th IEEE International Conference on Tools with Artificial Intelligence (Washington, DC, USA, 2006), IEEE Computer Society, pp. 86-92.
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[51] Appan, P., Sundaram, H., and Tseng, B. L. Summarization and visualization of communication patterns in a large social network. In Proceedings of 10th. Pacific-Asia Conference, PAKDD 2006, Advances in Knowledge Discovery and Data Mining (New York, 2006), W. Ng, Ed., no. 3918 in Lecture Notes in Computer Science (LNCS), Springer-Verlag, pp. 371-379.
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[52] Cavendish, D. Consumer electronics ethernet networks. In CCNC'06: Proceedings of the IEEE Consumer Communications and Networking Conference (2006), pp. 874-882.
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[53] Kong, D., Han, M., Xu, W., Tao, H., and Gong, Y. Video super-resolution with scene-specific priors. In Proceedings of British Machine Vision Seventeenth Conference (2006), pp. 549-558.
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[54] Lin, Y., Chen, W., Shi, X., Sia, R., Song, X., Chi, Y., Hino, K., Sundaram, H., Tatemura, J., and Tseng, B. L. The splog detection task and a solution based on temporal and link properties. In Proceedings of NIST Text Retrieval Conference - TREC (2006).
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[55] Song, X., Lin, C., Tseng, B., and Sun, M. Modeling evolutionary behaviors for community-based dynamic recommendation. In SIAM SDM'06: Proceedings of the SIAM Conference on Data Mining (2006).
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[56] Wu, Y., and Tseng, B. Important weblog identification and hot story summarization. In Proceedings of AAAI Computational Approaches to Analyzing Weblogs (2006), pp. 221-227.
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[57] Zhang, C., Zhu, S., and Gong, Y. Trend analysis for large document streams. In ICMLA '06: Proceedings of the 5th International Conference on Machine Learning and Applications (Washington, DC, USA, 2006), IEEE Computer Society, pp. 285-295.
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[58] Zhou, Y., Xu, W., Tao, H., and Gong, Y. Background segmentation using spatial-temporal multi-resolution mrf. In WACV-MOTION '05: Proceedings of the IEEE Workshop on Motion and Video Computing (WACV/MOTION'05) - Volume 2 (Washington, DC, USA, 2005), IEEE Computer Society, pp. 8-13.
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[59] Sawires, A., Tatemura, J., Po, O., Agrawal, D., and Candan, K. S. Incremental maintenance of path-expression views. In SIGMOD '05: Proceedings of the 2005 ACM SIGMOD international conference on Management of data (New York, NY, USA, 2005), ACM, pp. 443-454.
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[60] Zhu, S., Ji, X., Xu, W., and Gong, Y. Multi-labelled classification using maximum entropy method. In SIGIR '05: Proceedings of the 28th annual international ACM SIGIR conference on Research and development in information retrieval (New York, NY, USA, 2005), ACM, pp. 274-281.
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[61] Song, X., Lin, C.-Y., Tseng, B. L., and Sun, M.-T. Modeling and predicting personal information dissemination behavior. In KDD '05: Proceedings of the eleventh ACM SIGKDD international conference on Knowledge discovery in data mining (New York, NY, USA, 2005), ACM, pp. 479-488.
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[62] Tatemura, J. Web services decomposition: edge computing architecture cache-friendly e-commerce applications. In DEEC '05: Proceedings of the International Workshop on Data Engineering Issues in E-Commerce (Washington, DC, USA, 2005), IEEE Computer Society, pp. 81-87.
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[63] Sion, R., and Tatemura, J. Dynamic stochastic models for workflow response optimization. In ICWS '05: Proceedings of the IEEE International Conference on Web Services (Washington, DC, USA, 2005), IEEE Computer Society, pp. 657-664.
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[64] Chen, L., Candan, K. S., Tatemura, J., Agrawal, D., and Cavendish, D. On overlay schemes to support point-in-range queries for scalable grid resource discovery. In P2P '05: Proceedings of the Fifth IEEE International Conference on Peer-to-Peer Computing (Washington, DC, USA, 2005), IEEE Computer Society, pp. 23-30.
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[65] Wu, Y., Chang, E. Y., and Tseng, B. L. Multimodal metadata fusion using causal strength. In MULTIMEDIA '05: Proceedings of the 13th annual ACM international conference on Multimedia (New York, NY, USA, 2005), ACM, pp. 872-881.
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[66] Chen, L., Candan, K. S., Tatemura, J., Agrawal, D., and Cavendish, D. Dht overlay schemes for scalable p-range resource discovery. In HPDC '05: Proceedings of the High Performance Distributed Computing, 2005. HPDC-14. Proceedings. 14th IEEE International Symposium (Washington, DC, USA, 2005), IEEE Computer Society, pp. 297-298.
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[67] Song, X., Tseng, B., Lin, C., and Sun, M. ExpertiseNET : Relational and evolutionary expert modeling. In 10th. International Conference on User modeling (Berlin, 2005), L. Ardissono, Ed., no. 3538 in Lecture Notes in Computer Science, Springer-Verlag, pp. 99-108.
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[68] Tseng, B., Tatemura, J., and Wu, Y. Tomographic clustering to visualize blog communities as mountain views. In Proceedings of the WWW 2005 2nd. Annual Workshop on the Weblogging Ecosystem: Aggregation, Analysis and Dynamics (2005).
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[69] Gong, Y., Han, M., Hua, W., and Xu, W. Maximum entropy model-based baseball highlight detection and classification. Comput. Vis. Image Underst. 96, 2 (2004), 181-199.
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[70] Xu, W., and Gong, Y. Document clustering by concept factorization. In SIGIR '04: Proceedings of the 27th annual international conference on Research and development in information retrieval (2004), ACM Press, pp. 202-209.
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[71] Han, M., Sethi, A., Hua, W., and Gong, Y. A detection-based multiple object tracking method. In Image Processing, 2004. ICIP '04. 2004 International Conference on (Oct. 2004), vol. 5, pp. 3065-3068 Vol. 5.
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[72] Han, M., Xu, W., Tao, H., and Gong, Y. An algorithm for multiple object trajectory tracking. In Computer Vision and Pattern Recognition, 2004. CVPR 2004. Proceedings of the 2004 IEEE Computer Society Conference on (June-2 July 2004), vol. 1, pp. I-864-I-871 Vol.1.
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[73] Gong, Y. Summarizing audiovisual contents of a video program. EURASIP J. Appl. Signal Process. 2003, 1 (2003), 160-169.
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[74] Gong, Y., and Liu, X. Video summarization and retrieval using singular value decomposition. Multimedia Syst. 9, 2 (2003), 157-168.
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[75] Xu, W., Liu, X., and Gong, Y. Document clustering based on non-negative matrix factorization. In SIGIR '03: Proceedings of the 26th annual international ACM SIGIR conference on Research and development in informaion retrieval (2003), ACM Press, pp. 267-273.
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[76] Liu, X., Gong, Y., Xu, W., and Zhu, S. Document clustering with cluster refinement and model selection capabilities. In SIGIR '02: Proceedings of the 25th annual international ACM SIGIR conference on Research and development in information retrieval (New York, NY, USA, 2002), ACM, pp. 191-198.
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[77] Han, M., Hua, W., Xu, W., and Gong, Y. An integrated baseball digest system using maximum entropy method. In MULTIMEDIA '02: Proceedings of the tenth ACM international conference on Multimedia (New York, NY, USA, 2002), ACM, pp. 347-350.
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[78] Chang, P., Han, M., and Gong, Y. Extract highlights from baseball game video with hidden markov models. In Image Processing. 2002. Proceedings. 2002 International Conference on (2002), vol. 1, pp. I-609-I-612 vol.1.
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[79] Hua, W., Han, M., and Gong, Y. Baseball scene classification using multimedia features. In ICME '02: IEEE International Conference on Multimedia and Expo (2002), vol. 1, pp. 821-824 vol.1.
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[80] Gong, Y., Liu, X., and Hua, W. Creating motion video summaries with partial audio-visual alignment. In Multimedia and Expo, 2002. ICME '02. Proceedings. 2002 IEEE International Conference on (2002), vol. 1, pp. 285-288 vol.1.
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[81] Gong, Y., and Liu, X. Generic text summarization using relevance measure and latent semantic analysis. In SIGIR '01: Proceedings of the 24th annual international ACM SIGIR conference on Research and development in information retrieval (New York, NY, USA, 2001), ACM, pp. 19-25.
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[82] Gong, Y., and Liu, X. Creating generic text summaries. In Document Analysis and Recognition, 2001. Proceedings. Sixth International Conference on (2001), pp. 903-907.
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[83] Gong, Y., and Liu, X. Summarizing video by minimizing visual content redundancies. In Multimedia and Expo, 2001. ICME 2001. IEEE International Conference on (Aug. 2001), pp. 607-610.
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[84] Gong, Y. Advancing content-based image retrieval by exploiting image color and region features. Multimedia Syst. 7, 6 (1999), 449-457.
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