publications

Publications

Journals

1. Jie Ji, Tony Y. T. Chan, and Qiangfu Zhao. Clustering Large Sparse Text Data: A Comparative Advantage Approach. Journal of Information Processing Society of Japan, 51(9):1930–1939, 2010.

   1. Tony Y. T. Chan, Jie Ji, and Qiangfu Zhao. Learning to Detect Spam: Naive Euclidean Approach. International Journal of Signal Processing, Image Processing and Pattern Recognition, 1(1):31–38, 2008.

   2. Tony Y. T. Chan. Unifying Metric Approach to Triple Parity. Artificial Intelligence, 141(1):123–135, 2002.

   3. Tony Y. T. Chan. Unsupervised Classification of Noisy Chromosomes. Bioinformatics, 17(5):438–444, 2001.

   4. Tony Y. T. Chan. Inductive Pattern Learning. IEEE Transactions on Systems, Man, and Cybernetics, 29(6):667–674, 1999.

   5. Tony Y. T. Chan. Running Parallel Algorithms with APL on a Sequential Machine. ACM SIGAPL APL Quote Quad, 29(4):25–26, 1999.

   6. Tony Y. T. Chan and Lev Goldfarb. Primitive Pattern Learning. Pattern Recognition, 25(8):883–889, 1992.

   7. Virendra Bhavsar, Tony Y. T. Chan, and Lev Goldfarb. Some Parallel Algorithms and VLSI Implementations for a New Approach to Pattern Recognition. Control and Computers, 14:88–93, 1986.

Conferences and Workshops

• 1. Edgar Bryan B. Nicart, Tony Y. T. Chan, and Ruji P. Medina. Enhanced Satellite Imaging Algorithm Classifier using Convolutional Neural modified Support Vector Machine. Proceedings of the 2018 the 2nd International Conference on Video and Image Processing, 222-225, ACM, Hong Kong, December 29–31, 2018.

1. Jie Ji, Tony Y. T. Chan, and Qiangfu Zhao. Fast Document Clustering Based on Weighted Comparative Advantage. Proceedings of the 2009 IEEE International Conference on Systems, Man, and Cybernetics, 541–546, IEEE Computer Society, San Antonio, Texas, USA, October 2009.

2. Jie Ji, Tony Y. T. Chan, and Qiangfu Zhao. Comparative Advantage Approach to Classifying SparseText Data. Proceedings of the IEEE 9th International Conference on Computer and Information Technology, vol. 1, 3–8, IEEE Computer Society, Xiamen, China, 11–14 October 2009.

3. Tony Y. T. Chan. Practical Linear Space Algorithms for Computing String-Edit Distances. Proceedings of the 2nd International Conference on Intelligent Computing, Lecture Notes in Bioinformatics, LNBI 4115, 504–513, Springer-Verlag, Kunming, China, 16–19 August 2006.

   1. Tony Y. T. Chan. Naive Euclidean Approach to Classification of Satellite Images. Proceedings of the Global Mapping Forum, 156–161, IEEE Computer Society Press, Ginowan, Okinawa, Japan, July 2003. The talk was simultaneously translated into Japanese.

   2. Tony Y. T. Chan. Fast Naive-Euclidean Learner. Proceedings of the 2nd IEEE International Conference on Systems, Man, and Cybernetics, 30–35, IEEE Computer Society, Hammamet, Tunisia, October 2002.

   3. Tony Y. T. Chan. Unsupervised Classification for the Triple Parity Strings. Proceedings of the 8th IEEE International Conference on Electronics, Circuits and Systems, vol. 2, 615–618, IEEE Computer Society, St. Julian's, Malta, September 2001. 

   4. Tony Y. T. Chan. Supervised Classification for the Triple Parity Strings. Proceedings of the 9th International Conference on Artificial Intelligence: Methodology, Systems, Applications, Lecture Notes in Artificial Intelligence, LNAI 1904, 340–347, Springer-Verlag, Varna, Bulgaria, September 2000.

   5. Tony Y. T. Chan. A Quick and Naive Euclidean Learner for Supervised Feature Selection. Proceedings of the 6th IEEE International Conference on Electronics, Circuits and Systems, vol. 1, 587–590, IEEE Computer Society, Paphos, Cyprus, September 1999.

   6. Tony Y. T. Chan. A Fast Metric Approach to Feature Subset Selection. Proceedings of the 24th Euromicro Conference, vol. 2, 733–736, IEEE Computer Society, Västerås, Sweden, 25–27 August 1998.

   7. Tony Y. T. Chan. Unifying Metric Approach to Chromosome Classification. Proceedings of the World Multiconference on Systemics, Cybernetics and Informatics, vol. 3, 296–303, International Institute of Informatics and Systemics, Caracas, Venezuela, July 1997.

   8. Tony Y. T. Chan. A New Approach for the Unsupervised Parity Problem. Proceedings of the 13th European Meeting on Cybernetics and System Research, vol. 2, 1136–1141, Austrian Society for Cybernetic Studies, Vienna, Austria, April 1996.

   9. Tony Y. T. Chan. Metric Unified Approach to the Exclusive-Or Problem. Proceedings of the 5th Scandinavian Conference on Artificial Intelligence, 373–377, IOS Press, Trondheim, Norway, 29–31 May 1995.

   10. Tony Y. T. Chan. Inductive Pattern Learning. Proceedings of the International Workshop on Structural and Syntactic Pattern Recognition: Shape, Structure and Pattern Recognition, 261–270, World Scientific, Nahariya, Israel, October 4–6, 1994.

   11. Tony Y. T. Chan and Shunji Mori. Are We Moving Ahead?: Lessons from OCR. Proceedings of the 5th UNB Artificial Intelligence Symposium, 329–342, UNB Press, Fredericton, Canada, August 1993.

   12. Tony Y. T. Chan. Generalization as Optimization. Proceedings of the 4th UNB Artificial Intelligence Symposium, 81–94, UNB Press, Fredericton, Canada, November 1991.

   13. Tony Y. T. Chan. Learning as Optimization: An Overture. Proceedings of the IASTED International Symposium on Machine Learning and Neural Networks, 100–103, Acta Press, New York, USA, October 1990.

   14. Tony Y. T. Chan and Lev Goldfarb. Learning Primitive Patterns in Computer Vision. Proceedings of the 2nd UNB Applications of Artificial Intelligence Workshop, 100–115, UNB Press, Fredericton, Canada, November 1989.

   15. Virendra Bhavsar, Tony Y. T. Chan, and Lev Goldfarb. Some Parallel Algorithms and VLSI Implementations for a New Approach to Pattern Recognition. Proceedings of the IASTED International Symposium on Robotics and Automation, 1–6, Acta Press, Lugano, Switzerland, June 1985.

   16. Virendra Bhavsar, Tony Y. T. Chan, and Lev Goldfarb. On the Metric Approach to Pattern Recognition and Its VLSI Implementations. Proceedings of the 1985 IEEE Computer Society Workshop on Computer Architecture for Pattern Analysis and Image Database Management, 126–136, IEEE Computer Society Press, Miami, USA, July 1985.

   17. Tony Y. T. Chan. Goldfarb's New Approach to Pattern Recognition: A Graduate Student's Viewpoint. Proceedings of the 6th IASTED International Symposium on Robotics and Automation, 14–17, Acta Press, Santa Barbara, USA, July 1985.

   18. Virendra Bhavsar, Tony Y. T. Chan and Lev Goldfarb. On VLSI Implementations for a New Approach to Pattern Recognition. Proceedings of the Annual APICS Computer Science Conference, 142–157, UNB Press, redericton, Canada, June 1984.

   19. Lev Goldfarb, Virendra Bhavsar, and Tony Y. T. Chan. A Comparative Analysis of the Syntactic and a New Approach to Pattern Recognition. Proceedings of the Annual APICS Computer Science Conference, 49–63, UNB Press, Fredericton, Canada, June 1984.

   20. Lev Goldfarb and Tony Y. T. Chan. An Application of a New Approach to Pictorial Pattern Recognition. Proceedings of the 4th IASTED International Symposium on Robotics and Automation, 70–73, Acta Press, Amsterdam, Netherlands, July 1984.

   21. Lev Goldfarb and Tony Y. T. Chan. On a New Unified Approach to Pattern Recognition. Proceedings of the 7th International Conference on Pattern Recognition, 705–708, IEEE Computer Society Press, Montreal, Canada, August 1984.

Dissertations

• • Tony Y. T. Chan. Learning as Optimization: A Unified Paradigm. PhD thesis, University of New Brunswick, Fredericton, Canada, 1992.

  • Tony Y. T. Chan. On the Space and Time Complexity of Restricted New and Structural Approaches to Pattern Recognition. Master's thesis, University of New Brunswick, Fredericton, Canada, 1985.

Technical Report

• • Tony Y. T. Chan. Inductive Pattern Learning. Technical Report 95-1-033, The University of Aizu, Japan, 22 September 1995.