Research Highlights, with links to selected papers -- Tin Kam Ho

• Interactive Data Visualization and Pattern Discovery with Mirage, T.K. Ho, in G.J. Babu, E.D. Feigelson (eds.), Statistical Challenges in Modern Astronomy IV, Astronomical Society of the Pacific, 2007. (.pdf)
• Exploratory Analysis System for Semi-Structured Engineering Logs, M. Flaster, B. Hillyer, T.K. Ho, Proc. of the IAPR Workshop on Document Analysis Systems, Nelson, New Zealand, February 13-15, 2006. (.pdf)
• Interactive Tools for Pattern Discovery, T.K. Ho, Proc. of the 17th International Conference on Pattern Recognition, Cambridge, U.K., August 22-26, 2004, Volume 2, 509-512. (.pdf)
• Promises and Challenges in Automatic Pattern Recognition, T.K. Ho, Proc. of Astronomical Data Analysis Software & Systems XIII, Strasbourg, France, October 12-15, 2003. (.pdf)
• VO Enabled Mirage and the IVOA Client Package, S. Carliles, T.K. Ho, W. O'Mullane, Proc. of Astronomical Data Analysis Software & Systems XIII, Strasbourg, France, October 12-15, 2003. (.pdf)
• Mirage: A Tool for Interactive Pattern Recognition from Multimedia Data, T.K. Ho, Proc. of Astronomical Data Analysis Software & Systems XII, Baltimore, MD, October 13-16, 2002, 339-342. (html) (.pdf)
• Exploratory Analysis of Point Proximity in Subspaces, T.K. Ho, Proc. of the 16th Int'l Conf. on Pattern Recognition, Quebec City, Canada, August 11-15, 2002, Volume 2, 196-199. (.pdf)

• Data Complexity in Pattern Recognition, M. Basu, T.K. Ho (eds.), Springer-Verlag, 2006.
• Class Separability in Spaces Reduced By Feature Selection, E. Pranckeviciene, T.K. Ho, R. Somorjai, Proc. of the 17th International Conference on Pattern Recognition, Hong Kong, China , August 20-24, 2006, Volume 2. (.pdf)
• Domain of Competence of XCS Classifier System in Complexity Measurement Space, E.B. Mansilla, T.K. Ho, IEEE Transaction on Evolutionary Computation. 9 , 1, February 2005, 82-104. (.pdf)
• On Classifier Domains of Competence, E.B. Mansilla, T.K. Ho, Proc. of the 17th International Conference on Pattern Recognition, Cambridge, U.K., August 22-26, 2004, Volume 1, 136-139. (.pdf)
• Complexity Measures of Supervised Classification Problems, T.K. Ho, M. Basu, IEEE Trans. on Pattern Analysis and Machine Intelligence, 24 , 3, March 2002, 289-300. (.pdf)
• A Data Complexity Analysis of Comparative Advantages of Decision Forest Constructors, T.K. Ho, Pattern Analysis and Applications, 5, 2002, 102-112. (.pdf)
• Uniformity Testing Using Minimal Spanning Tree, A.K. Jain, X. Xu, T.K. Ho, F. Xiao, Proc. of the 16th Int'l Conf. on Pattern Recognition, Quebec City, Canada, August 11-15, 2002, Volume 4, 281-284. (.pdf)
• The Learning Behavior of Single Neuron Classifiers on Linearly Separable or Nonseparable Input, M. Basu, T.K. Ho, Proc. of the 1999 Int'l Joint Conf. on Neural Networks, Washington, D.C., July 10-16, 1999. (.pdf)

• Hyper-Rectangular and k-Nearest-Neighbor Models in Stochastic Discrimination, I. Skrypnyk, T.K. Ho, Proceedings of The 2006 International Conference on Data Mining, Las Vegas, NV, June 26-29, 2006. (.pdf)
• Symmetries from Uniform Space Covering in Stochastic Discrimination, T.K. Ho, Proc. of the Joint IAPR International Workshops on Structural and Syntactic Pattern Recognition and Statistical Techniques in Pattern Recognition, Hong Kong, China, August 17-19, 2006. (.pdf)
• Multiple Classifier Combination: Lessons and Next Steps, T.K. Ho, in A. Kandel, H. Bunke, (eds.), Hybrid Methods in Pattern Recognition , World Scientific, 2002, 171-198. (.pdf)
• Evaluation of Decision Forests on Text Categorization, H. Chen, T.K. Ho, Proc. of SPIE Conf. on Document Recognition and Retrieval VII, 3967 , San Jose, CA, January 23-28, 2000, 191-199. (.pdf)
• The Random Subspace Method for Constructing Decision Forests, T.K. Ho, IEEE Trans. on Pattern Analysis and Machine Intelligence, 20 , 8, August 1998, 832-844. (.pdf)
• Nearest Neighbors in Random Subspaces, T.K. Ho, Proc. of the 2nd Int'l Workshop on Statistical Techniques in Pattern Recognition, Sydney, Australia, August 11-13, 1998, 640-648. (.pdf)
• Adaptive Coordination of Multiple Classifiers, T.K. Ho, in J.J. Hull, S.L. Taylor (eds.), Document Analysis Systems II, World Scientific Publishing Co., 1997, 371-384. (.pdf)
• Building Projectable Classifiers of Arbitrary Complexity, T.K. Ho, E.M. Kleinberg, Proc. of the 13th Int'l Conf. on Pattern Recognition, Vienna, Austria, August 25-30, 1996, 880-885. (.pdf)
• Random Decision Forests, T.K. Ho, Proc. of the 3rd Int'l Conf. on Document Analysis and Recognition, Montreal, Canada, August 14-18, 1995, 278-282. (.pdf)
• Decision Combination in Multiple Classifier Systems, T.K. Ho, J.J. Hull, S.N. Srihari, IEEE Trans. on Pattern Analysis and Machine Intelligence, 16 , 1, January 1994, 66-75. (.pdf)
• A Theory of Multiple Classifier Systems and Its Application to Visual Word Recognition, T.K. Ho, Ph.D. Thesis, Dept. of Computer Science, State University of New York at Buffalo, February, 1992. (.pdf)

• A Statistical Approach to Anomaly Detection in Interdomain Routing, S. Deshpande, M. Thottan, T.K. Ho, B. Sikdar, Proc. of the 3rd International Conference on Broadband Communications, Networks and Systems, October 9-13, 2006, San Jose, CA, USA. (.pdf)
• A Framework for Learning to Personalize Converged Services Involving Social Networks, R. Dinoff, T.K. Ho, R. Hull, B. Kumar, D. Lieuwen, H. Ren, and P. Santos, Proc. of the 2006 IEEE Mountain Workshop on Adaptive and Learning Systems, Logan, Utah, July 24-26, 2006. (.pdf)
• Simulation of Power Evolution and Control Dynamics in Optical Transport Systems, T. K. Ho, T. R. Salamon, R. W. Freund, C. White, B. Hillyer, L. C. Cowsar, C. Nuzman, D. Kilper, Bell Labs Technical Journal, 10 , 1, Spring 2005, 119-137. (.pdf)
• Modeling and Simulation of Control Dynamics in Optical Transport Systems, T. K. Ho, L. C. Cowsar, R. W. Freund, L. Vardapetyan, and T. R. Salamon, Bell Labs Computer Science Technical Report 2002-04-32 (.pdf)
• SEQUIN: An MPLS Network Monitoring System, M. Thottan, K. Swanson, M. Cantone, T.K. Ho, J. Ren, S. Paul, Bell Labs Technical Journal, 8, 1, 2003, 95-111. (.pdf)
• TaBLA: A Client-Based Scheduling Algorithm for Web Proxy Clusters, G. Narlikar, Lakshman Y.N., T.K. Ho, Proc. of the 20th IEEE Int'l Performance, Computing, and Communications Conf., Phoenix, AZ, April 4-6, 2001, 217-227. (.pdf)
• Pictorial Knowledge and Space Object Surveillance and Identification, E.T. Lee, T.Y. Young, T.K. Ho, W. Shomar, in M.B. Fishman (ed.), Advances in Artificial Intelligence Research, JAI Press Inc., Volume 1, 1989, 309-345.

• Exploration of Contextual Constraints for Character Pre-Classification, T.K. Ho, G. Nagy, Proc. of the 6th Int'l Conf. on Document Analysis and Recognition, Seattle, WA, September 10-13, 2001, 450-454. (.pdf)
• OCR with No Shape Training, T.K. Ho, G. Nagy, Proc. of the 15th Int'l Conf. on Pattern Recognition, Barcelona, Spain, September 3-8, 2000, 27-30. (.pdf)
• Stop Word Location and Identification for Adaptive Text Recognition, T.K. Ho, Int'l J. of Document Analysis and Recognition, 3, 1, August 2000, 16-26. (.pdf)

• Pattern Classification with Compact Distribution Maps, T.K. Ho, H.S. Baird, Computer Vision and Image Understanding, 70, 1, April 1998, 101-110. (.pdf)
• Large-Scale Simulation Studies in Image Pattern Recognition, T.K. Ho, H.S. Baird, IEEE Trans. on Pattern Analysis and Machine Intelligence, 19 , 10, October 1997, 1067-1079. (.pdf)
• Enhancing Degraded Document Images via Bitmap Clustering and Averaging, J. Hobby, T.K. Ho, Proc. of the 4th Int'l Conf. on Document Analysis and Recognition, Ulm, Germany, August 18-20, 1997, 394-400. (.pdf)
• Recognition of Handwritten Digits by Combining Independent Learning Vector Quantizations, T.K. Ho, Proc. of the 2nd Int'l Conf. on Document Analysis and Recognition, Tsukuba Science City, Japan, October 20-22, 1993, 818-821. (.pdf)
• A Computational Model for Recognition of Multifont Word Images, T.K. Ho, J.J. Hull, S.N. Srihari, Machine Vision and Applications, 5, 1992, 157-168. (.pdf)
• A Word Shape Analysis Approach to Lexicon Based Word Recognition, T.K. Ho, J.J. Hull, S.N. Srihari, Pattern Recognition Letters, 13 , 1992, 821-826. (.pdf)