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LINC Publications

A list of recent publications that involve the group members

Note: If there is any incorrect or missed information, please send a message to zwu at cacs . louisiana . edu for getting  the list updated. Also See the DBLP entries of the LINC researchers

 DBLP: Vijay V. Raghavan | DBLP: Chee-Hung Henry Chu | DBLP: Ryan Benton | DBLP: Zonghuan Wu

Research papers published (Since 2002)

  1. Y. Xie, V. Raghavan, X. Zhao, “3M Algorithm: Finding an Optimal Fuzzy Cluster Scheme for Proximity Data”, In Proceedings of the FUZZ-IEEE Conference- 2002 IEEE World Congress on Computational Intelligence, Honolulu, HI, May 2002.
  2. S. Noel, C. Chu, V. Raghavan, “Visualization of Document Co-citation Counts”, In Proc. 6th International Conference on Information Visualization, London, United Kingdom, Jul 2002, pp. 691-696.
  3. W. Wettayaprasit, C. Lursinsap, C. Chu, “Quasimorphism and Comprehensibility of Rules in Inductive Learning,” In Proc. IEEE International Conference on Cognitive Informatics, Calgary, Canada, Aug 2002.
  4. S. Thainimit, C. Chu, “Illumination Mipmaps for Texture Mapping in Computational Video”, In Proc. 3rd Int. Workshop on Digital and Computational Video, Clearwater, FL, Nov 2002.
  5. S. Chiewchanwattana, C. Lursinsap, C. Chu, “Time-series Data Prediction based on Reconstruction of Missing Samples and Selective Ensembling of FIR Neural Networks”, In Proc. International Conference on Neural Information Processing, Singapore, Nov 2002.
  6. W. Wettayaprasit, C. Lursinsap, C. Chu, “Rule Extraction from Neural Networks using Fuzzy Sets”, In Proc. International Conference on Neural Information Processing, Singapore, Nov 2002.
  7. B. Shah, V. Raghavan, "An Approach to Content-Based Image Retrieval using Clustering and Space Transformation," In Proceedings of the ACM International Workshop on Multimedia Information Retrieval, Juan-les-Pins, France, Dec 2002.
  8. T. Johnsten, V. Raghavan, “Knowledge Hiding in Databases and its Relationship to KDD,” in Proc. of the 6th World Multiconference on Systemics, Cybernetics, and Informatics (SCI 2002), Orlando, FL, July 2002.
  9.  T. Johnsten, V. Raghavan and K. Hill, “The Security Assessment of Association Mining Algorithms,” in Proc. of Sixteenth IFIP WG 11.3 Working Conference on Data and Applications Security, Cambridge, England, July 2002.
  10. T. Johnsten, V. Raghavan, “A Methodology for Hiding Knowledge in Databases”, In Proceedings of ICDM02 Workshop on Privacy, Security and Data Mining, Maebashi City, Japan, 2002, pp 9-18.
  11. Y. Xie, V. Raghavan, “Probabilistic Logic-based Characterization of Knowledge Discovery in Databases”, In Proceedings of ICDM02 Workshop on Foundation of Data Mining and Knowledge Discovery, Maebashi, Japan, Dec 2002, pp. 107-112.
  12. A. Rozsypal, M. Kubat, “Association Mining in Gradually Changing Domains”, In FLAIRS, St. Augustine, FL, May 2003.
  13. Z. Wu, V. Raghavan, W. Meng, C. Yu, D. Chun, H. He, K. Sai, “SE-LEGO: A System to Create Meta-Search Engines on Demand”, In Proc. of 26th ACM SIGIR Conference, Demo paper, Toronto, Canada, Jul 2003.
  14. Jong P. Yoon, “Bitmap-based High-speed Access Control for XML Documents”, In Seventeenth Annual IFIP 11.3 Working Conference on Database and Applications Security, CO, Aug 2003.
  15. A. Doloc-Mihu, V. Raghavan, P. Bollmann-Sdorra, "Color Retrieval in Vector Space Model", In ACM SIGIR Workshop on Mathematical/Formal Methods in Information Retrieval, Toronto, Canada, Aug 2003.
  16. Z. Wu, V. Raghavan, C. Du, W. Meng, H. He, C. Yu, “Creating Customized Meta-Search Engines on Demand Using SE-LEGO”, In  Advances in Web-Age Information Management (WAIM'03), Lecture Notes in Computer Science, Vol. 2762, Springer, Berlin/Heidelburg, Demo paper, Presented at WAIM'03, Chengdu, China, Aug 2003, pp. 503-505.
  17. H. He, W. Meng, C. Yu, Z. Wu, “An Automatic Integrator of Web Search Interfaces for E-Commerce”, In Proceedings of the 29th International Conference on Very Large Databases (VLDB 03), Berlin, Germany, Sep 2003.
  18. H. He, W. Meng, C. Yu, Z. Wu, “An Automatic Integrator of Web Search Interfaces for E-Commerce”, In Proceedings of the 29th International Conference on Very Large Databases (VLDB 03), Berlin, Germany, September 2003.
  19. B. Shah, V. Raghavan, "Space Transformation Based Approach for Effective Content-Based Image Retrieval," In Foundations of  Intelligent Systems- Intelligent Information Retrieval, Lecture Notes in Computer Science, Vol. 2871, Springer, Berlin/Heidelberg, Presented at ISMIS'03, Maebashi City, Japan, Oct 2003.
  20. Y. Xie, V. Raghavan, “A Theoretical Framework For Knowledge Discovery in Databases Based on Probabilistic Logic”, In Proceedings of RSFDGrC'2003 (9th International Conference on Rough Sets, Fuzzy Sets, Data Mining and Granular Computing), Chongqing, China, Oct 2003. 
  21. A. Gummadi, J. P. Yoon, B. Shah, V. Raghavan, “A Bitmap-Based Access Control for Restricted Views of XML Document”, In ACM Workshop on XML Security, Fairfax, VA, Oct 2003.
  22. J. Deogun, L. Jiang, Y. Xie, V. Raghavan, “Probability Logic Modeling of Knowledge Discovery in Databases”, In Foundations of  Intelligent Systems- Intelligent Information Retrieval, Lecture Notes in Computer Science, Vol. 2871, Springer, Berlin/Heidelberg, Presented at ISMIS'03, Maebashi City, Japan, Oct 2003.
  23. Z. Wu, W. Meng, V. Raghavan, C. Yu, H. He, H. Qian, R. Vuyyuru, “Towards Automatic Incorporation of Search Engines into a Large-Scale Meta-Search Engine”, In Proc. of IEEE/WIC WI-2003 Conference, Halifax, Canada, Oct 2003.
  24. R. Fanguy and V. Raghavan, “Generating Rule-based Trees from Decision Trees for Concept-based  Information Retrieval”, In Proc. of the First Int'l Worshop on Web-based  Support Systems, Halifax, Canada, Oct. 2003.
  25. T. Johnsten, R. Sweeney, V. Raghavan, “A Methodology for Hiding Knowledge in XML Document Collections” In Proceedings of COMPSAC-2003 Workshop on Web & Security Informatics, Dallas, TX, Nov 2003.
  26. A. Rozsypal, M. Kubat, “Selecting Representative Examples and Attributes by a Genetic Algorithm”, In Intelligent Data Analysis, pp. 291-304. Vol. 7, No. 4, 2003.
  27. S. Noel, C. Chu, V. Raghavan, “Co-citation Count vs Correlation for Influence Network Visualization”, Information Visualization, Vol. 3, No. 2, 2003, pp. 160-170.
  28. S. Noel, V. Raghavan, C. Chu, “Document Clustering, Visualization, and Retrieval via Link Mining”, In Clustering and Information Retrieval, (W. Wu, H. Xiong, S. Shekhar, eds.), Kluwer, Boston, MA, 2003.
  29. S. Chiewchanwattana, C. Lursinsap, C. Chu, “A Reconstructed Missing Data-Finite Impulse Response Selective Ensemble (RMD-FSE) Network”, In Neural Information Processing-Research and Development, (J. C. Rajapakse and L. Wang, eds.), Springer-Verlag, 2003.
  30. B. Shah, V. Raghavan, P. Dhatric, “Efficient and Effective Content-Based Image Retrieval using Space Transformation”, In Conference on Multi Media Modeling, Brisbane, Australia, Jan 2004.
  31. Y. Xie, T. Johnsten, V. V. Raghavan, “Knowledge Hiding in Databases for Concept-based Data Mining Algorithms”, In Proceedings of WISICT04 Workshop on Security Procedures' Effects on Network Communication (SPENC), Cancun, Mexico, Jan 2004.
  32. B. Shah, P. Dhatric, V. Raghavan, “Using Inverse Image Frequency for Perception-Based Color Image Quantization”, In (Eds. T. Aach and J. P. Havlicek) Southwest Symposium on Image Analysis and Interpretation, Lake Tahoe, NV, USA, Mar 2004, pp. 71-75.
  33. B. Shah, A. Gummadi, J. Yoon, V. Raghavan, “Efficient Dynamic Indexing and Retrieval of XML Documents using Three-Dimensional Quasi-BitCube”, In WWW2004 First International Workshop on High Performance XML Computing, New York, NY, May 2004.
  34. H. Sever, V. Raghavan, “Meta Patterns: Discovering rough classifiers,” In North American Fuzzy Information Processing Society Conference, Banff, Canada, June 2004.
  35. H, Sever, Z. Bolat, & V. Raghavan, Use of Preference Relation for Text Categorization. In (Eds. S. Tsumoto, R. Slowinski, J. Komorowski and J. W. Grzymala-Busse)  Rough Sets and Current Trends in Computing, Lecture Notes in Artificial Intelligence, Vol. 3066, Springer, Berlin/Heidelberg, Presented at RSCTC'04, Uppsala, Sweden, June 2004, pp. 708 – 713.
  36.  Y. Xie & V. Raghavan, GAMInG - A Framework for Generalization of Association Mining via Information Granulation. In (Eds. S. Tsumoto, R. Slowinski, J. Komorowski and J. W. Grzymala-Busse)  Rough Sets and Current Trends in Computing , Lecture Notes in Artificial Intelligence, Vol. 3066, Springer, Berlin/Heidelberg, Presented at RSCTC'04 , Uppsala, Sweden, June 2004, pp. 199 – 203.
  37. J. Deogun, L. Jiang, & V. Raghavan, Discovering Maximal Potentially Useful Association Rules Based on Probability Logic. In (Eds. S. Tsumoto, R. Slowinski, J. Komorowski and J. W. Grzymala-Busse)  Rough Sets and Current Trends in Computing , Lecture Notes in Artificial Intelligence, Vol. 3066, Springer, Berlin/Heidelberg, Presented at RSCTC'04, Uppsala, Sweden, June 2004, pp. 274 – 284.
  38. B. Shah, K. Ramachandran, V. Raghavan, “Storage Estimation of Multidimensional Aggregates in a Data Warehouse Environment”, In World Multi-Conference on Systemics, Cybernetics and Informatics, Orlando, FL, July 2004.
  39. J. R. Alsabbagh, V. Raghavan: A Model for Multiple-Query Processing Based upon Strong Factoring, Proceedings of the International Conference on Information Technology: Coding and Computing (ITCC'04), Vol. 1, 2004, pp. 528-533.
  40. A. Doloc-Mihu, V. Raghavan, P. Bollmann-Sdorra, "Integration of Multiple Feature Types with Adaptive Retrieval in Vector Space Model", In ACM SIGIR Workshop on Mathematical/Formal Methods in Information Retrieval, Sheffield, U.K., July 2004.
  41. K. Efe, V. Raghavan, A. Lakhotia, “Content and Link Structure Analysis for Searching the Web”, In (Eds. Y. Zhang, A. Kandel, T. Y. Lin, Y. Y. Yao) Computational Web Intelligence: Intelligent Technology for Web Applications,  Series in Machine Learning and Artificial Intelligence, 58, World Scientific Press, Sept. 2004.
  42. S. Karnatapu, K. Ramachandran, Z. Wu, B. Shah, V. Raghavan, R. Benton, “Estimating Size of Search Engines in Uncooperative Environment” In International Workshop on Web-based Support Systems, Beijing, China, Sep 2004.
  43. Z. Wu, D. Mundluru, V. Raghavan, “Automatically Detecting Boolean Operations Supported by search Engines,” In International Workshop on Web-based Support Systems, Beijing, China, Sep. 2004.
  44. R. Mehra, S. K. Gandham, Z. Wu, V.  Raghavan, “Configuring Java-based Web Application Development Environment for an Academic Setting,” In International Workshop on Web-based Support Systems, Beijing, China, Sep. 2004.
  45. E. Diaz, A. De, V. Raghavan, “On Selective Result Merging in a Metasearch,” In International Workshop on Web-based Support Systems, Beijing, China, Sep. 2004.
  46. H. He, W. Meng, C. Yu, Z. Wu, “Automatic Integration of Web Search Interfaces with WISE-Integrator”, In International Journal on Very Large Databases, 2004.
  47. V. Raghavan, N. Gudivada, Z. Wu, W. Grosky, “Information Retrieval”, In The Practical Handbook of Internet Computing, (Munindar P. Singh, ed.), Part-2, Chapter 12, Chapman and Hall/CRC Press, 2004.
  48. W. Wettayaprasit, C. Lursinsap, and C.H. Chu, “Extracting linguistic quantitative rules from supervised neural networks,” International Journal of Knowledge-based and Intelligent Engineering Systems, vol. 8, pp. 161-170, 2004.
  49. A. Doloc-Mihu, V. Raghavan, S. Karnatapu, C.H. Chu, "Interface for Visualization of Image Database in Adaptive Image Retrieval systems", in (Eds. R. Erbacher, J. Roberts, M. Groehn, K. Boerner), Proceedings of IS&T/SPIE 17th Annual Symposium on Electronic Imaging Science and Technology, Vol. 5669, Visualization and Data Analysis 2005, San Jose, CA, Jan. 2005, p. 106.
  50. Y. Xie, D. Mundluru, V. Raghavan, “Incorporating Agent-based Neural Network Model for Adaptive Meta Search,” in (Eds. V. A. Clincy, B. Harbort) Proc. 43rd ACM South east Conf. (ACMSE 2005), Kennesaw, GA, March 2005, pp 53-58.
  51. K. Ramachandran, B. Shah, V. Raghavan, “Access Pattern-Based Dynamic Pre-fetching of Views in an OLAP System”, In International Conference on Enterprise Information Systems, May 2005.
  52. H. Zhao, W. Meng, Z. Wu, V. Raghavan, C. Yu, “Fully Automatic Wrapper Generation for Search Engines,” in (Eds. A. Ellis, T. Hagino, F. Douglis, P. Raghavan) Proc. 14th International World Wide Web Conf., Chiba, Japan, May 2005, pp.66-75.
  53. Y. Xie, V. Raghavan, “A Probabilistic Logic-based Framework for Characterizing Knowledge Discovery in Databases”, in (Eds. T.Y. Lin, S. Ohsuga, C.J. Lian, S. Tsumoto) Foundations of Data Mining and Knowledge Discovery, Springer-Verlag, Berlin-Heidelberg, pp.87-100, 2005 (ISBN 3-540-26257-1).
  54. Y. Xie, V. Raghavan, X. Zhao, “A New Fuzzy Clustering Algorithm For Optimally Finding Granular Prototypes”, In Journal of Approximate Reasoning, Special Issue on Data Mining and Granular Computing, Vol. 40, No. 1-2, July 2005, pp.109-124.
  55. R. Benton, C. H. Chu, “Soft Computing Approach To Steganalysis of LSB Embedding in Digital Images”, In Proc. 3rd IEEE International Conference on Information Technology: Research and Education, Hsinchu, Taiwan, pp. 105-109, June 27-30, 2005.
  56. K.S. Rawat and C. H. Chu "Pseudo-perspective mapping for motion compensation in aerial video coding," Proc. Mathematics of Data/Image Coding, Compression, and Encryption, with Applications Conference, SPIE Symposium on Optics and Photonics, San Deigo, California, Aug. 2005.
  57. K. Kubola and C.H. Chu, “Connectivity compression for three-dimensional planar triangle meshes,” in Proc.  9th International Conference on Information Visualization, London, U.K., July 2005, IEEE Computer Society Press, pp. 837--841, July 2005.
  58. E. Diaz, A. De, V. Raghavan, “A Comprehensive OWA-based Framework for Result Merging in Metasearch,” in ( Eds. D. Slezak, J. -T. Yao, J. F. Peters, W. Ziarko, X. Hu) Proc. 10th International Conf. on Rough Sets, Fuzzy Sets and Granular Computing (RSFDGRC 2005), Part II, Regina, Sask., Canada, Sept. 2005, pp. 193-201.
  59. D. Mundluru, J. Katukuri, S. Celebi. Automatically Mining Result Records from Search Engine Response Pages. in (Eds. J. Han, B. Wah, V. Raghavan, X. Wu) Proc. 5th IEEE International Conference on Data Mining (ICDM), Houston, Texas, November 2005.
  60. D. Mundluru, Z. Wu, V. Raghavan, W. Meng, H. Zhao, “Automatically Extracting Subsequent Response Pages from Web Search Sources” Proc. 5th IEEE Workshop on Knowledge Acquisition from Distributed, Autonomous, Semantically Heterogeneous Data and Knowledge Sources, Houston, TX, Nov.2005, pp 25-34.
  61. Hai He, Weiyi Meng, Clement T. Yu, Zonghuan Wu: WISE-Integrator: A System for Extracting and Integrating Complex Web Search Interfaces of the Deep Web. In Proc. Of 2005 International Conference on Very Large DataBase: 1314-1317.
  62. Hai He, Weiyi Meng, Clement T. Yu, Zonghuan Wu: Constructing Interface Schemas for Search Interfaces of Web Databases. In Proc.Of   2005 International Conference on Web Information Systems Engineering: 29-42.
  63. B. Shah, V. Raghavan, P. Dhatric, X. Zhao, “A Cluster-Based Approach for Efficient Content-Based Image Retrieval using a Similarity-preserving Space Transformation Method,” Journal of the American Society for Information Science and Technology, 57 (12), 2006, pp: 1694-1707.
  64. B. Shah, K. Ramachandran, V. Raghavan, “A Hybrid Approach for Data Warehouse View Selection,” International Journal of Data Warehousing and Mining, 2 (2), 2006, pp: 1-37.
  65.  J. Choi, M. Kim, V. Raghavan, “Adaptive Relevance Feedback Method of Extended Boolean model using Hierarchical Clustering Techniques,” Information Processing & Management, 42 (2), March 2006, pp. 331-349.
  66.  Y. Chang, M. Kim, V. Raghavan, “Construction of Query Concepts based on Feature Clustering of Documents,” Information Retrieval, Vol. 9, 2006, pp. 231-248.
  67. Y. Xie,  T. Johnsten, V.V. Raghavan, and K. Ramachandran,  On Discovering "Potentially Useful" Patterns from Databases, (Eds. Y.-Q. Zhang, T.Y. Lin) Proceedings
    of the 2006 IEEE International Conference on Granular Computing, Atlanta, May 2006, pp. 494 - 497.
  68. Y. Xie, M. Nagarajan, V.V. Raghavan, and Hisham  Haddad,  On Novelty Evaluation of Potentially Useful Patterns, in (Eds. S. F. Crone, S. Lessmann & R. Stahlbock) Proceedings of the 2006International Conference on Data Mining , Las Vegas, June 2006, pp. 211 -217.
  69. P. Kuntala and V. V. Raghavan. "Fusion Based Methodology for Spatial Clustering," In (Eds. C. Claramunt,  S. Šaltenis, and K.-J. Li)Proceedings of the Third Workshop on Spatio-Temporal Database Management, STDBM 2006, in conjuction with VLDB 2006, Seoul, Korea, Sept. 2006.
  70. A. Doloc-Mihu and V. V. Raghavan, “Using Score Distribution Models to Select the Kernel Type for a Web-based Adaptive Image Retrieval System,” in (Eds. H. Sundaram, M. Naphade, J. R. Smith, Y. Rui) Proceedings of the Image and Video Retrieval: 5th International Conference, CIVR 2006, Tempe, AZ, USA, July 13-15, 2006, pp. 443 – 452.
  71. Q. He and C. H. Chu, "An efficient vanishing point detection by clustering on the normalized unit sphere," Proceedings of 2006 International Workshop on Computer Architecture for Machine Perception and Sensing, Montreal, Quebec, Canada, Sep. 2006.
  72. Ryan G. Benton and Chee-Hung Henry Chu, "Camera Pose Estimation by an Artificial Neural Network", Proceedings of the 2006 International Conference on Neural Information Processing, Hong Kong, pp. 604-611, October 3-6, 2006.
  73. Q. He and C. H. Chu, "Planar surface detection in image pairs using homographic constraints," Proceedings of 2006 International Symposium on Visual Computing, Lake Tahoe, Nov. 2006.
  74. B. Shah, R. Benton, Z. Wu, V. Raghavan, “Automatic and Semi-automatic Techniques for Image Annotation,” Semantic-Based Visual Information Retrieval, (ed. Yu-Jin Zhang), Idea Group Publishing, 2006.
  75. Q. He and C. H. Chu, "Recovering intrinsic images from weighted edge maps," Proceedings of 2006 IEEE International Conference on Intelligent Data Hiding and Multimedia Signal Processing, Pasadena, California, Dec. 2006.
  76. R. Desai, Q. Yang, Z. Wu, W. Meng, C. Yu: Identifying redundant search engines in a very large scale metasearch engine context. WIDM 2006: 51-58
  77. K. Sunat, C. Lursinsap, and C. H. Chu, "The p-recursive piecewise polynomial sigmoid generators and first-order algorithms for multilayer tanh-like neurons," Neural Computing and Applications, vol. 16, no. 1, pp. 33-47, Springer, Jan. 2007.
  78. Y. Zhang and C. H. Chu, "One-dimensional mappings for recovering large scale projective transformation," Proceedings IEEE International Conference on Acoustics, Speech, and Signal Processing, Honolulu, Hawaii, Apr. 2007.
  79. Q. He and C. H. Chu, "Lane detection and tracking through affine rectification", in Proceedings IAPR Conference on Machine Vision Applications, Tokyo, Japan, May 2007.
  80. Mores Prachyabrued, Timothy Roden, and Ryan G. Benton, "Procedural generation of stylized 2D maps", in Proceedings of the International Conference on Advances in Computer Entertainment Technology (ACE 2007), Salzburg, Austria, pp. 147-150, June 13-15, 2007.
  81. S. Chu, J. Chen, Z. Wu, C. H. Chu and V. Raghavan, "A treemap-based result interface for search engine users", in Proc. 2007 International Conference on Human-Computer Interface, Beijing, China, pp. 401-410, July 2007.
  82. S. Chiewchanwattana, C. Lursinsap, and C. H. Chu, "Imputing incomplete time-series data based on varied-window similarity measure of data sequences", Pattern Recognition Letters, vol. 28, no. 9, 2007
  83. H. He, W. Meng, Y. Lu, C. Yu, Z. Wu: Towards Deeper Understanding of the Search Interfaces of the Deep Web. World Wide Web 2007: 133-155
  84. Q. He and C. H. Chu, "Intrinsic images by Fisher linear discriminant", 2007 International Symposium on Visual Computing, Lake Tahoe, Nevada, pp. 349-356, Nov 26-28, 2007.
  85. Y. Lu, Z. Wu, H. Zhao, W. Meng, K. Liu, V. Raghavan, C. Yu: MySearchView: a customized metasearch engine generator. SIGMOD Conference 2007: 1113-1115
  86. K. Liu, W. Meng, J. Qiu, C.  Yu, V. Raghavan, Z. Wu, Y. Lu, H. He, H. Zhao: AllInOneNews: development and evaluation of a large-scale news metasearch engine. SIGMOD Conference 2007: 1017-1028
  87. S. McDermott and C. H. Chu, "An exploration of virtual 3D sound," 154th Meeting of the Acoustical Society of America, New Orleans, LA, Nov 27 - Dec 1, 2007. Selected as a "lay language" paper included in the Acoustical Society of America press room.
  88. Q. He and C. H. Chu, "A New Image Segmentation Technique Using Maximum Spanning Tree", 12th International Workshop on Combinatorial Image Analysis, Buffalo, NY, USA, pp. 197-204, April 7-9, 2008.
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