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On finding the closest bitwise matches in a fixed set
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Source ACM Transactions on Mathematical Software (TOMS) archive
Volume 17 ,  Issue 1  (March 1991) table of contents
Pages: 88 - 97  
Year of Publication: 1991
ISSN:0098-3500
Authors
Peter Klier  Univ. of California at Berkeley
Richard J. Fateman  Univ. of California at Berkeley
Publisher
ACM  New York, NY, USA
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ABSTRACT

In a given large fixed table of bit-vectors, we would like to find, as rapidly as possible, those bit-vectors which have the least Hamming distances from a newly-presented arbitrary bit-vector.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
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EASTMAN, C. M. AND WEISS, S.F. Tree structures for high dimensionality nearest neighbor searching. Inf. Syst. 7, 2 (1982), 115-122.
 
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FRIEDMAN, J. H., BASKETT, F., AND SHUSTEK, L. J. An algorithm for finding nearest neighbors. IEEE Trans. Comput. 24, 10 (Oct. 1975), 1000-1006.
 
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FUKUNAGA, K., AND NARENDRA, P. M. A branch and bound algorithm for computing k-nearest neighbors. IEEE Trans. Comput. 24, 7 (July 1975), 750-753.
 
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KLIER, P. A de,~ign for automated integral tables. M.S. thesis, Dept. Electrical Engineering and Computer Sciences, University of California at Berkeley, May 1989.
 
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NmSSON, N. J. Principles of Artificial Intelligence. Tioga Publishing, Palo Alto, Calif., 1980, pp.72-88.
 
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OMOHUNDRO, S. M. Efficient algorithms with neural network behavior. Tech. Rept. UIUCDCS-R-87-1331, Dept. Computer Science, University of Illinois at Urbana-Champaign, April 1987.
 
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PETERSON, W. W., AND WELDON, E. J. Error-Correcting Codes. MIT Press, Cambridge, Mass., 1972.
 
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RIVEST, R.L. Partial-match retrieval algorithms. SIAM J. Comput. 5, I (March 1976), 19-50.
 
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STALLMAN, R.M. The Gnu CC Compiler, version 1.22. Free Software Foundation, Cambr~clge, Mass., 1'9~9.
 
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REVIEW

"James Lee Holloway : Reviewer"

Given a target bit-vector and a table of bit-vectors, find the k bit-vectors in the table that most closely match the target bit-vector. Hamming distance is used to measure the closeness of a match between tw  more...

Collaborative Colleagues:
Peter Klier: colleagues
Richard J. Fateman: colleagues