Dr. Christopher Henry

Dr. Christopher Henry, P. Eng.

  • C. J. Henry. Metric free nearness measure using description-based neighbourhoods. Mathematics in Computer Science, 7(1):51–69, 2013.

  • C. J. Henry and S. Ramanna. Signature-based perceptual nearness. Application of near sets to image retrieval. Mathematics in Computer Science, 7(1):71–85, 2013.

  • C. J. Henry and S. Ramanna. Maximal clique enumeration in finding near neighbourhoods. Transactions on Rough Sets, LNCS 7736:103–124, 2013.

  • C. J. Henry, S. Ramanna, and D. Levy. Quantifying nearness in visual spaces. Cybernetics and Systems, 44(1):38–56, 2013.

  • C. J. Henry. Perceptually indiscernibility, rough sets, descriptively near sets, and image analysis. Transactions on Rough Sets, LNCS 7255:41–121, 2012.

  • C. Henry and J. F. Peters. Near set Evaluation And Recognition (NEAR) system v3.0. Technical report, Computational Intelligence Laboratory, University of Manitoba, 2012. UM CI Laboratory Technical Report No. TR-2012-019.

  • C. J. Henry and G. Smith. Proximity system. Technical report, Computational Intelligence Laboratory, University of Manitoba, 2012. UM CI Laboratory Technical Report No. TR-2012-021.

  • C. J. Henry. Neighbourhoods, classes and near sets. Applied Mathematical Sciences, 5(35):1727–1732, 2011.

  • C. Henry and J. F. Peters. Arthritic hand-finger movement similarity measuresments: Tolerance near set approach. Computational and Mathematical Methods in Medicine, 2011, 2011. article ID 569898, 14 pp.

  • C. J. Henry and J. F. Peters. Neighbourhood-based vision systems. Cybernetics and Systems, 42(1):33–44, 2011.

  • C. J. Henry and S. Ramanna. Parallel computation in finding near neighbourhoods. Lecture Notes in Computer Science, 6954:523–532, 2011.

  • C. Henry. Near set Evaluation And Recognition (NEAR) system. In S. K. Pal and J. F. Peters, editors, Rough Fuzzy Analysis Foundations and Applications, pages 7–1 – 7–22. CRC Press, Taylor & Francis Group, 2010. exe. availabe at: url http://wren.ee.umanitoba.ca.

  • C. Henry and J. F. Peters. Near set Evaluation And Recognition (NEAR) system v2.0. Technical report, Computational Intelligence Laboratory, University of Manitoba, 2010. UM CI Laboratory Technical Report No. TR-2010-017.

  • C. Henry and J. F. Peters. Perception-based image classification. International Journal of Intelligent Computing and Cybernetics, 3(3):410–430, 2010. Emerald Literati Network 2011 Award for Excellence.

  • C. Henry and J. F. Peters. Perceptual image analysis. International Journal of Bio-Inspired Computation, 2(3/4):271–281, 2010.

  • A. E. Hassanien, A. Abraham, J. F. Peters, G. Schaefer, and C. Henry. Rough sets and near sets in medical imaging: A review. IEEE Transactions on Information Technology in Biomedicine, 13(6):955–968, 2009.

  • C. Henry and J. F. Peters. Near set Evaluation And Recognition (NEAR) system. Technical report, Computational Intelligence Laboratory, University of Manitoba, 2009. UM CI Laboratory Technical Report No. TR-2009-015.

  • C. Henry and J. F. Peters. Perception based image classification. Technical report, Computational Intelligence Laboratory, University of Manitoba, 2009. UM CI Laboratory Technical Report No. TR-2009-016.

  • C. Henry and J. F. Peters. Near set index in an objective image segmentation evaluation framework. In Proceedings of the GEOgraphic Object Based Image Analysis: Pixels, Objects, Intelligence, pages 1–8, 2008.

  • C. Henry and J. F. Peters. Image pattern recognition using approximation spaces and near sets. In Proceedings of the Eleventh International Conference on Rough Sets, Fuzzy Sets, Data Mining and Granular Computer (RSFDGrC 2007), Joint Rough Set Symposium (JRS07), Lecture Notes in Computer Science, volume 4482, pages 475–482, 2007.

  • J. F. Peters and C. Henry. Approximation spaces in off-policy monte carlo learning. Engineering Applications of Artificial Intelligence, 20(5):667–675, 2007.

  • J. F. Peters, C. Henry, and D. S. Gunderson. Biologically-inspired adaptive learning control strategies. International Journal of Hybrid Intelligent Systems, 4(4):203–216, 2007.

  • M. Borkowski, C. Henry, D. Lockery, and J. F. Peters. ALiCE II: Cellular wireless internet communication subsystem for an autonomous line-crawling robot designed for Manitoba Hydro. Technical report, Computational Intelligence Laboratory, University of Manitoba, 2006. UM CI Laboratory Technical Report No. TR-2006-014A.

  • J. F. Peters and C. Henry. Reinforcement learning with approximation spaces. Fundamenta Informaticae, 71(2-3):323–349, 2006.

  • J. F. Peters, M. Borkowski, C. Henry, and D. Lockery. Moncular vision system that learns with approximation spaces. In A. E. Hassanien, D. Slezak, Z. Suraj, and P. Lingras, editors, Rough Set Computing: Toward Perception Based Computing, pages 1–22. Information Science Reference, Hershey, PA, 2006.

  • J. F. Peters, M. Borkowski, C. Henry, D. Lockery, D. S. Gunderson, and S. Ramanna. Line-crawling bots that inspect electric power transmission line equipment. In Proceedings of the 3rd International Conference on Autonomous Robots and Agents (ICARA 2006), pages 39–45, 2006.

  • J. F. Peters, C. Henry, D. Lockery, M. Borkowski, and S. Ramanna. Approximation spaces for swarms that learn. In T. Burczynski, W. Cholewaw, and W. Moczulski, editors, Recent Developments in Artificial Intelligence Methods (AIMETH 2005), pages 135–138, 2005.

  • J. F. Peters, C. Henry, and S. Ramanna. Reinforcement learning in swarms that learn. In Proceedings of the 2005 IEEE/WIC/ACM International Conference on Intelligent Agent Technology (IAT 2005), pages 400–406, 2005.

  • J. F. Peters, C. Henry, and S. Ramanna. Reinforcement learning with pattern-based rewards. In Proceedings of the 4th International IASTED Conference on Computational Intelligence (CI 2005), pages 267–272, 2005.

  • J. F. Peters, C. Henry, and S. Ramanna. Rough ethograms: study of intelligent system behavior. In M. A. Klopotek, S. Wierzchon, and K. Trojanowski, editors, New Trends in Intelligent Information Processing and Web Mining, pages 117–126, 2005.