By Mohammad Taheri, Elham Chitsaz, Seraj D. Katebi, Mansoor Z. Jahromi (auth.), Hamid Sarbazi-Azad, Behrooz Parhami, Seyed-Ghassem Miremadi, Shaahin Hessabi (eds.)
This booklet constitutes the revised chosen papers of the thirteenth foreign CSI desktop convention, CSICC 2008 hung on Kish Island, Iran, in March 2008. The eighty four common papers offered including sixty eight poster displays have been conscientiously reviewed and chosen from a complete of 426 submissions.
The papers are prepared in topical sections on learning/soft computing, set of rules idea, SoC and NoC, wireless/sensor networks, video processing and similar themes, processor structure, AI/robotics/control, scientific snapshot processing, p2p/cluster/grid platforms, cellular advert hoc networks, internet, sign processing/speech processing, misc, safety, snapshot processing functions in addition to VLSI.
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Additional info for Advances in Computer Science and Engineering: 13th International CSI Computer Conference, CSICC 2008 Kish Island, Iran, March 9-11, 2008 Revised Selected Papers
During the clustering, the weights of these functions change with respect to how much a cluster belongs to each type. Moreover, a soft switching is applied between each type of dissimilarity function to estimate the proper function of dissimilarity. In addition, the prototype of each cluster is a combination of different prototypes. The algorithm is applicable to both data including or excluding partially labeled data and is presented in the following, but whenever the labeled data are used, the substitutive step for the latter group is performed.
82 for precision and recall respectively. 34. Finally, we used sensitivity analysis for finding the relative importance of different factors that play role in deducing ‘is’ relations. Acknowledgement The research work done in this paper is financially supported by the Iranian Telecommunication Research Center (ITRC) under the research protocol, T/500/1895, on May 7 2007. References 1. : Learning Concept Hierarchies from Text Corpora using Formal Concept Analysis. Journal of Artificial Intelligence Research 24 (2005) 2.
2 Problem Description of Multiplicative Squares The Multiplicative Squares are a class of squares filled by the numbers 1 to n that the products of their rows, columns diagonals, and broken diagonals have a special feature. The most well-known type of MS is Kurchan square posed by Rodolfo Kurchan (1989), which is originated from magic square. The maximum product minus the minimum one is as small as possible in a Kurchan Square. However, in the MAX version of MS, sum of the following products is maximum.
Advances in Computer Science and Engineering: 13th International CSI Computer Conference, CSICC 2008 Kish Island, Iran, March 9-11, 2008 Revised Selected Papers by Mohammad Taheri, Elham Chitsaz, Seraj D. Katebi, Mansoor Z. Jahromi (auth.), Hamid Sarbazi-Azad, Behrooz Parhami, Seyed-Ghassem Miremadi, Shaahin Hessabi (eds.)