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Main works where Giuseppe Patanč is the author or a co-author

Journals

  • [MyLBGS] G. Campobello, M. Mantineo, G. Patanč, and M. Russo. LBGS: a smart approach for very large data sets vector quantization. Signal Processing: Image Communication, vol. 20, Issue1, January 2005, pp. 91-114. Abstract [pdf] [ps.gz]
  • [MyHwNwDesign] G. Campobello, G. Patanč, and M. Russo, Hardware design for multiconnected  networks: the design flow. Information Sciences, vol. 158 , January 2004, pp. 149-172. Abstract [pdf] [ps.gz]
  • [MyHwNwCaseStudy] G. Campobello, G. Patanč, and M. Russo, Hardware design for multiconnected networks: a case study. Information Sciences, vol. 158 , January 2004, pp. 173-188. Abstract [pdf] [ps.gz]
  • [MyTCCRC] G.Campobello, M.Russo, and G.Patanč. Parallel CRC Realization. IEEE  Transactions on Computers, vol. 52 no. 10, October 2003. Abstract   [ps.gz]  [pdf]
  • [MyFACS] G. Patanč and M. Russo, Fully Automatic Clustering System. IEEE Transactions on Neural Networks, vol. 13 no. 6, pp 1285-1298, November 2002. Abstract   [ps.gz]    [pdf]
  • [MyParClustering] G. Patanč and M. Russo, Distributed Unsupervised Learning Using the MULTISOFT Machine. Information Sciences,  vol. 43 no.1-4, 2002. Abstract    [ps.gz]   [pdf]
  • [MyNNsELBG] G. Patanč and M. Russo, The Enhanced LBG Algorithm. Neural Networks, vol. 14 no. 9, pp 1219--1237, November 2001. Abstract   [pdf]  [ps.gz]
    Look at the ELBG demo applet.
  • [MyKES00] G.Patanč and M.Russo, ELBG implementation. International Journal of Knowledge based Intelligent Engineering Systems, vol. 4 no. 2, pp 94-109, April 2000. Abstract  [pdf]  [ps.gz]

Proceedings of International Conferences

  • [MyIJCNN00] G.Patanč and M. Russo, Parallel Clustering on A Commodity Supercomputer, in IJCNN 2000, In Proc. of the IEEE-INNS-ENNS Int. Joint Conf. on Neural Networks, vol. 3, pp 575-580, 2000. Abstract    Download
  • [MyWILF99ELBG] G.Patanč and M. Russo, Comparisons between Fuzzy and Hard Clustering Techniques. In Pasi Masulli, Parenti, editor, Proceedings of WILF'99 - Advances in Fuzzy Systems and Intelligent Technologies, pp 176-184, Shaker, 1999.
  • [MyIWANN99ELBG] M. Russo and G. Patanč, Improving the LBG Algorithm. In J.Mira and J.V.Sānchez-Andrčs, editors, Proc. of IWANN'99, vol. 1606 of  Lecture Notes in Computer Science, pp 621-630, Barcelona, Spain, June 1999. Springer.

Theses

  • [MyThesis] G.Patanč, Smart Vector Quantization (SVQ): una nuova tecnica per la quantizzazione vettoriale. July 1997 Masther Thesis (in Italian), Catania, Italy, July 1997.

  • [MyPhDThesis] G.Patanč, Unsupervised Learning on Traditional and Distributed Systems, Ph.D. Thesis (in English), Palermo, Italy, 2001. Abstract    [ps.gz] [pdf]

Papers submitted for publication on journals

  • [MyPaul] G. Campobello, G. Patanč, and M. Russo, PAUL: a Parallel Algorithm for Unsupervised Learning. IEEE Transactions on Neural Networks, submitted. Abstract 
  • [MyEffParUL] G. Campobello, G. Patanč, and M. Russo, An efficient algorithm for parallel and distributed unsupervised learning. Neurocomputing, submitted.