Takeshi Tokuyama

ISAAC 2007, the 18th International Symposium on Algorithms and Compu- tion took place in Sendai, Japan, December 17-19, 2007. In the past, it was held in Tokyo (1990), Taipei (1991), Nagoya (1992), Hong Kong (1993), Beijing (1994), Cairns (1995), Osaka (1996), Singapore (1997), Daejeon (1998), Ch- nai (1999), Taipei (2000), Christchurch(2001), Vancouver(2002), Kyoto (2003), Hong Kong (2004), Hainan (2005), and Kolkata(2006). The symposium provided a forum for researchers working in algorithms and the theory of computation from all over the world. In response to our call for papers we received 220 submissions from 40 countries. The task of selecting the papers in this volume was done by our Program Committee and many other external reviewers. After a thorough review process, the Committee selected 77 papers. We hope all accepted papers will eventually appear in scienti?c journals in a more polished form. Two special issues, one of Algorithmica and one of the International Journal of Computational Geometry and Applications, with selected papers from ISAAC 2007 are in preparation. The best paper awardwasgivenfor "IntegerRepresentationandCounting in the Bit Probe Model" to Mohammad Rhaman and Ian Munro. Selected from 27 submissionsauthoredbyonlystudents, thebeststudentpaperawardsweregiven for "On Mixing and Edge Expansion Properties in Randomized Broadcasting" to Thomas Sauerwald and for "Faster Combinatorial Algorithms for Deter- nant and Pfa?an" to Anna Urbanska. Two eminent invited speakers, Pankaj K. Agarwal, Duke University, USA, and Robin Thomas, Georgia Institute of Technology, USA, also contributed to this volume

18th International Symposium, ISAAC 2007, Sendai, Japan, December 17-19, 2007, Proceedings

Algorithms and Computation

This book constitutes the refereed proceedings of the 18th International Symposium on Algorithms and Computation, ISAAC 2007, held in Sendai, Japan, in December 2007. The 77 revised full papers presented together with two invited talks were carefully reviewed and selected from 220 submissions. The papers included topical sections on graph algorithms, computational geometry, complexity, graph drawing, distributed algorithms, optimization, data structure, and game theory.

Hiroshi Imai

D.T. Lee

Takao Asano

Shin-ichi Nakano

The abstracts and papers in this volume were presented at the Fifth Annual International Computing and Combinatorics Conference (COCOON ’99), which was held in Tokyo, Japan from July 26 to 28, 1999. The topics cover most aspects of theoretical computer science and combinatorics pertaining to computing. In response to the call for papers, 88 high-quality extended abstracts were submitted internationally, of which 46 were selected for presentation by the p- gram committee. Every submitted paper was reviewed by at least three program committee members. Many of these papers represent reports on continuing - search, and it is expected that most of them will appear in a more polished and complete form in scienti c journals. In addition to the regular papers, this v- ume contains abstracts of two invited plenary talks by Prabhakar Raghavan and Seinosuke Toda. The conference also included a special talk by Kurt Mehlhorn on LEDA (Library of E cient Data types and Algorithms). The Hao Wang Award (inaugurated at COCOON ’97) is given to honor the paper judged by the program committee to have the greatest scienti c merit. The recipients of the Hao Wang Award 1999 were Hiroshi Nagamochi and Tos- hide Ibaraki for their paper \An Approximation for Finding a Smallest 2-Edge- Connected Subgraph Containing a Speci ed Spanning Tree".

5th Annual International Conference, COCOON'99, Tokyo, Japan, July 26-28, 1999, Proceedings

Computing and Combinatorics

This book constitutes the refereed proceedings of the First International Workshop on Machine Learning and Data Mining in Pattern Recognition, MLDM'99, held in Leipzig, Germany in September 1999. The 15 revised full papers presented together with two invited contributions were carefully reviewed. The papers are organized in sections on neural networks applied to image processing and recognition, learning in image pre-processing and segmentation, image retrieval, classification and image interpretation, symbolic learning and neural networks in document processing, and data mining.

Takeshi Tokuyama

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