Pallavi Pyreddy
W. Bruce Croft
- 1.J. P. CaIlan, W. Bruce Croft, and S. M. Harding. The INQUERY retrieval system. In Proceedings of the 8rd In. ternational Conference on Database and Ezper~ Systems Applications, pages 78-83, 1992.Google Scholar
Cross Ref
- 2.H Ft~isawa, Y Nakano, and K Kurino. Segmentation methods for character recognition: From segmentation to document structure analysis. Proceedings of the IEEB, 8o(7), z992.Google Scholar
- 3.G Nagy, S Seth, and M Vishwanathan. A prototype document image analysis system for tec2mical journals. Computer, 25(7), 1992. Google ScholarDigital Library
- 4.Daniela Bus and James Allan. Does Navigation Requ~e More than One Compass. In AAAI 95 Fall Symposium on AI Applications in Knot~ledge Navigation and Retrieval, pages 116--122, Cambridge, M.K, November 1995.Google Scholar
- 5.Daniela Rus and Devika Subramanian. Customizing Information Capture and Access. A CM Transaction8 on Information Systems, 1997. To appear. Google ScholarDigital Library
- 6.G Salton. The smar~ document retrieval project. In Proceedings of the Fourteenth Annual International A CM/SIGIR Conference on Research and Development in Information Retrieval, pages 356-358, 1991. Google ScholarDigital Library
- 7.H. R. 2hr~le. Inference Netzoorks for Documen~ Re. ~rievaL Phi) thesis, UnJversiey of Massachuse~es, 1990. Google ScholarDigital Library
- 8.D. Wang and S. Srlhari. Classification of newDpaper image blocks using texture analysis. Computer Viaion~ Graphics, and Image Processing, 47, 1989. Google ScholarDigital Library
Index Terms
- TINTIN: a system for retrieval in text tables
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