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An efficient algorithm for pattern detection and classification
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Source International conference on Industrial and engineering applications of artificial intelligence and expert systems archive
Proceedings of the 1st international conference on Industrial and engineering applications of artificial intelligence and expert systems - Volume 2 table of contents
Tullahoma, Tennessee, United States
Pages: 645 - 653  
Year of Publication: 1988
ISBN:0-89791-271-3
Author
F. Hadlock  Tennessee Technological Univ.
Sponsor
SIGART: ACM Special Interest Group on Artificial Intelligence
Publisher
ACM  New York, NY, USA
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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.

 
1
HADLOC}{, F. O. (1977), A shortest path algorithm for grid graphs, Networks 7'323- 334.
 
2
tADLO~I{, F. O. (1988), Minimum Detour Methods for String or Sequence Comparison, Congressus Numerantium.
 
3
HADLOCg, F. O., Minimum Detour Methods for Levenshtein Based String Classification, (submitted).
 
4
HART, P. E., NELSON, N. G., and RAPHAEL, B., (1978), A formal basis for the heuristic determination of minimum cost paths. IEEE Trans. Syst. Sci. Cybern, Vol. SSC-4, 100-107.
 
5
KOHONEN, T. (1985), Median Strings. Pattern Recognition Letters, Vol. 3, No. 5, 309-314.
 
6
LEVENSttTEIN, V. I. (1966), Binary codes capable of correcting deletions, insertions, and reversals. Cybernetics and Control Theory 10, 707-710.
7
 
8
SANKOFF, D. AND KRUSKAL, G. B. (Eds.), (1983), Time warps, string edits, and macromolecules: The theory and practice of sequence comparison. Addison Wesley, Inc.
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