Summary and Info
It is most appropriate that the first volume to appear in the series "Advanced Applications in Pattern Recognition" should be this monograph by Nagao and Matsuyama. The work described here is a deep unification and synthesis of the two fundamental approaches to pat tern recognition: numerical (also known as "statistical") and struc tural ("linguistic," "syntactic"). The power and unity of the meth odology flow from the apparently effortless and natural use of the knowledge-base framework illuminated by the best results of artificial intelligence research. An integral part of the work is the algorithmic solution of many hitherto incompletely or clumsily treated problems. It was on the occasion of a laboratory visit in connection with the 4th IJCPR (of ~hich Professor Nagao was the very able Program Chairman) that I saw in operation the system described here. On the spot I expressed the desire to see the work described for the inter national technical audience in this series and the authors were kind enough to agree to contribute to a new and unknown series. With the publication of this monograph on the eve of the 5th ICPR my wish is fu1fi11~d. I want to thank here the authors and Plenum Publishing Corporation for making this volume and the series a reality.
More About the Author
Makoto Nagao (長尾 真, Nagao Makoto, born October 4, 1936) is a Japanese computer scientist. He contributed to various fields: machine translation, natural language processing, pattern recognition, image processing and library science.
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