Publications -- Tin Kam Ho

• Intuitive Network Applications: Learning User Context and Behavior,
  Nilton Bila, Jin Cao, Robert Dinoff, Tin Kam Ho, Bharat Kumar, Daniel Lieuwen, Paulo Santos, Bell Labs Technical Journal, 13, 2, 2008, 31-48.
• Mobile User Profile Acquisition Through Network Observables and Explicit User Queries,
  Nilton Bila, Jin Cao, Robert Dinoff, Tin Kam Ho, Rick Hull, Bharat Kumar, Paulo Santos, Proceedings of the Mobile Data Management Conference, April 27-30, 2008, Beijing.
• Monitoring and Diagnostics of Power Anomalies in Transparent Optical Networks,
  Tin Kam Ho, Thomas Bengtsson, Todd Salamon, Christopher White, Technical Digests of Optical Fiber Communictions, February 28, 2008, San Diego, CA, USA.
• Wavelength-dependent channel power transient response in broadband Raman-amplified transmission,
  Daniel Kilper, Andrew R. Grant, Tin Kam Ho, Todd R. Salamon, Christopher A. White, Journal of Optical Networking, Special Issue on Transparent Networks, 7, 2, February 2008, 132-141.
• Mirage: A Visual Tool for Scientific Inquiries into the VO Archives,
  Tin Kam Ho, in M. Graham, M. Fitzpatrick, T. McGlynn (eds.), The National Virtual Observatory: Tools And Techniques For Astronomical Research, Astronomical Society of the Pacific, ASP Conference Series Vol. CS-382, 2008, 29-36.
• Intuitive Network Applications: Learning for Personalized Converged Services Involving Social Networks,
  Robert Dinoff, Tin Kam Ho, Richard Hull, Bharat Kumar, Daniel Lieuwen, Paulo Santos, Haobo Ren, Journal of Computers, 2, 6, August 2007, 72-84.
• Interactive Data Visualization and Pattern Discovery with Mirage,
  Tin Kam Ho, in G.J. Babu, E.D. Feigelson (eds.), Statistical Challenges in Modern Astronomy IV, Astronomical Society of the Pacific, ASP Conference Series Vol. CS-371, 2007, 391-394.
• Data Complexity in Pattern Recognition,
  Mitra Basu, Tin Kam Ho (eds.), Springer-Verlag, 2006.
• A Statistical Approach to Anomaly Detection in Interdomain Routing,
  Shivani Deshpande, Marina Thottan, Tin Kam Ho, Biplab Sikdar, Proc. of the 3rd International Conference on Broadband Communications, Networks and Systems, October 9-13, 2006, San Jose, CA, USA.
• Class Separability in Spaces Reduced By Feature Selection,
  Erinija Pranckeviciene, Tin Kam Ho, Ray Somorjai, Proc. of the 17th International Conference on Pattern Recognition, Hong Kong, China , August 20-24, 2006, Volume 2.
• Symmetries from Uniform Space Covering in Stochastic Discrimination,
  Tin Kam 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.
• A Framework for Learning to Personalize Converged Services Involving Social Networks,
  Robert Dinoff, Tin Kam Ho, Richard Hull, Bharat Kumar, Daniel Lieuwen, Haobo Ren, and Paulo Santos,\ Proc. of the 2006 IEEE Mountain Workshop on Adaptive and Learning Systems, Logan, Utah, July 24-26, 2006.
• Hyper-Rectangular and k-Nearest-Neighbor Models in Stochastic Discrimination,
  Iryna Skrypnyk, Tin Kam Ho, Proceedings of The 2006 International Conference on Data Mining, Las Vegas, NV, June 26-29, 2006.
• Exploratory Analysis System for Semi-Structured Engineering Logs,
  Michael Flaster, Bruce Hillyer, Tin Kam Ho, Proceedings of the IAPR Workshop on Document Analysis Systems, Nelson, New Zealand, February 13-15, 2006.
• Simulation of Power Evolution and Control Dynamics in Optical Transport Systems,
  Tin Kam Ho, Todd Salamon, Roland Freund, Christopher White, Bruce Hillyer, Lawrence Cowsar, Carl Nuzman, Daniel Kilper, Bell Labs Technical Journal, 10 , 1, Spring 2005, 119-137.
• Domain of Competence of XCS Classifier System in Complexity Measurement Space,
  Ester Bernado Mansilla, Tin Kam Ho, IEEE Transaction on Evolutionary Computation. 9 , 1, February 2005, 82-104.
• Interactive Tools for Pattern Discovery,
  Tin Kam Ho, Proceedings of the 17th International Conference on Pattern Recognition, Cambridge, U.K., August 22-26, 2004, Volume 2, 509-512.
• On Classifier Domains of Competence,
  Ester Bernado Mansilla, Tin Kam Ho, Proceedings of the 17th International Conference on Pattern Recognition, Cambridge, U.K., August 22-26, 2004, Volume 1, 136-139.
• Promises and Challenges in Automatic Pattern Recognition,
  Tin Kam Ho, Proceedings of Astronomical Data Analysis Software & Systems XIII, Strasbourg, France, October 12-15, 2003.
• VO Enabled Mirage and the IVOA Client Package,
  Samuel Carliles, Tin Kam Ho, William O'Mullane, Proceedings of Astronomical Data Analysis Software & Systems XIII, Strasbourg, France, October 12-15, 2003.
• SEQUIN: An MPLS Network Monitoring System,
  Marina Thottan, Ken Swanson, Michael Cantone, Tin Kam Ho, Jennifer Ren, Sanjoy Paul, Bell Labs Technical Journal, 8, 1, 2003, 95-111.
• Modeling and Simulation of Control Dynamics in Optical Transport Systems,
  Tin Kam Ho, Lawrence C. Cowsar, Roland W. Freund, Leon Vardapetyan, and Todd R. Salamon, Bell Labs Computer Science Technical Report 2002-04-32.
• Mirage: A Tool for Interactive Pattern Recognition from Multimedia Data,
  Tin Kam Ho, Proceedings of Astronomical Data Analysis Software & Systems XII, Baltimore, MD, October 13-16, 2002, 339-342. (html)
• Exploratory Analysis of Point Proximity in Subspaces,
  Tin Kam Ho, Proceedings of the 16th International Conference on Pattern Recognition, Quebec City, Canada, August 11-15, 2002, Volume 2, 196-199.
• Uniformity Testing Using Minimal Spanning Tree,
  Anil K. Jain, Xiaowei Xu, Tin Kam Ho, Fan Xiao, Proceedings of the 16th International Conference on Pattern Recognition, Quebec City, Canada, August 11-15, 2002, Volume 4, 281-284.
• A Data Complexity Analysis of Comparative Advantages of Decision Forest Constructors,
  Tin Kam Ho, Pattern Analysis and Applications, 5, 2002, 102-112.
• Complexity Measures of Supervised Classification Problems,
  Tin Kam Ho, Mitra Basu, IEEE Transactions on Pattern Analysis and Machine Intelligence, 24 , 3, March 2002, 289-300.
• Multiple Classifier Combination: Lessons and Next Steps,
  Tin Kam Ho, in A. Kandel, H. Bunke, (eds.), Hybrid Methods in Pattern Recognition , World Scientific, 2002, 171-198.
• Exploration of Contextual Constraints for Character Pre-Classification,
  Tin Kam Ho, George Nagy, Proceedings of the 6th International Conference on Document Analysis and Recognition, Seattle, WA, September 10-13, 2001, 450-454.
• Data Complexity Analysis for Classifier Combination,
  Tin Kam Ho, Proceedings of the 2nd International Workshop on Multiple Classifier Systems, Cambridge, U.K., July 2-4, 2001, 53-67.
• TaBLA: A Client-Based Scheduling Algorithm for Web Proxy Clusters,
  Girija Narlikar, Lakshman Y.N., Tin Kam Ho, Proceedings of the 20th IEEE International Performance, Computing, and Communications Conference, Phoenix, AZ, April 4-6, 2001, 217-227.
• Measuring the Complexity of Classification Problems,
  Tin Kam Ho, Mitra Basu, Proceedings of the 15th International Conference on Pattern Recognition, Barcelona, Spain, September 3-8, 2000, 43-47.
• OCR with No Shape Training,
  Tin Kam Ho, George Nagy, Proceedings of the 15th International Conference on Pattern Recognition, Barcelona, Spain, September 3-8, 2000, 27-30.
• Stop Word Location and Identification for Adaptive Text Recognition,
  Tin Kam Ho, International Journal of Document Analysis and Recognition, 3, 1, August 2000, 16-26.
• Complexity of Classification Problems and Comparative Advantages of Combined Classifiers,
  Tin Kam Ho, Proceedings of the 1st International Workshop on Multiple Classifier Systems, Cagliari, Italy, June 21-23, 2000, 97-106.
• Evaluation of Decision Forests on Text Categorization,
  Hao Chen, Tin Kam Ho, Proceedings of SPIE Conference on Document Recognition and Retrieval VII, 3967 , San Jose, CA, January 23-28, 2000, 191-199.
• Fast Identification of Stop Words for Font Learning and Keyword Spotting,
  Tin Kam Ho, Proceedings of the 5th International Conference on Document Analysis and Recognition, Bangalore, India, September 20-22, 1999, 333-336.
• The Learning Behavior of Single Neuron Classifiers on Linearly Separable or Nonseparable Input,
  Mitra Basu, Tin Kam Ho, Proceedings of the 1999 International Joint Conference on Neural Networks, Washington, D.C., July 10-16, 1999.
• The Random Subspace Method for Constructing Decision Forests,
  Tin Kam Ho, IEEE Transactions on Pattern Analysis and Machine Intelligence, 20 , 8, August 1998, 832-844. (note)
• Bootstrapping Text Recognition from Stop Words,
  Tin Kam Ho, Proceedings of the 14th International Conference on Pattern Recognition, Brisbane, Australia, August 17-20, 1998, 605-609.
• C4.5 Decision Forests,
  Tin Kam Ho, Proceedings of the 14th International Conference on Pattern Recognition, Brisbane, Australia, August 17-20, 1998, 545-549. (note)
• Nearest Neighbors in Random Subspaces,
  Tin Kam Ho, Proceedings of the Second International Workshop on Statistical Techniques in Pattern Recognition, Sydney, Australia, August 11-13, 1998, 640-648.
• Pattern Classification with Compact Distribution Maps,
  Tin Kam Ho, Henry S. Baird, Computer Vision and Image Understanding, 70, 1, April 1998, 101-110.
• Large-Scale Simulation Studies in Image Pattern Recognition, Tin Kam Ho, Henry S. Baird, IEEE Transactions on Pattern Analysis and Machine Intelligence, 19 , 10, October 1997, 1067-1079.
• Enhancing Degraded Document Images via Bitmap Clustering and Averaging,
  John Hobby, Tin Kam Ho, Proceedings of the 4th International Conference on Document Analysis and Recognition, Ulm, Germany, August 18-20, 1997, 394-400.
• Commercial Exploitation of OCR and Document Analysis Systems Technology: Market and User Requirements,
  Stefan Knerr, Tin Kam Ho, in J.J. Hull, S.L. Taylor (eds.), Document Analysis Systems II, World Scientific Publishing Co., 1997, 521-523.
• Adaptive Coordination of Multiple Classifiers,
  Tin Kam Ho, in J.J. Hull, S.L. Taylor (eds.), Document Analysis Systems II, World Scientific Publishing Co., 1997, 371-384. Also in Proceedings of the IAPR Workshop on Document Analysis Systems, Malvern, PA, October 14-16, 1996, 338-351.
• Building Projectable Classifiers of Arbitrary Complexity,
  Tin Kam Ho, Eugene M. Kleinberg, Proceedings of the 13th International Conference on Pattern Recognition, Vienna, Austria, August 25-30, 1996, 880-885.
• Random Decision Forests,
  Tin Kam Ho, Proceedings of the 3rd International Conference on Document Analysis and Recognition, Montreal, Canada, August 14-18, 1995, 278-282.
• Evaluation of OCR accuracy using synthetic data,
  Tin Kam Ho, Henry S. Baird, Proceedings of the 4th Annual Symposium on Document Analysis and Information Retrieval, Las Vegas, April 24-26, 1995, 413-422.
• Selection of Image Features for Distribution-Map Classifiers,
  Tin Kam Ho, SPIE Proceedings Vol. 2422, Document Recognition II, San Jose, CA, February 5-10, 1995, 105-114.
• Estimating the Intrinsic Difficulty of A Recognition Problem,
  Tin Kam Ho, Henry S. Baird, Proceedings of the 12th International Conference on Pattern Recognition, Jerusalem, Israel, Oct 9-13, 1994, 178-183.
• Asymptotic Accuracy of Two-Class Discrimination,
  Tin Kam Ho, Henry S. Baird, Proceedings of the Third Annual Symposium on Document Analysis and Information Retrieval, Las Vegas, NV, April 11-13, 1994, 275-288.
• Decision Combination in Multiple Classifier Systems,
  Tin Kam Ho, Jonathan J. Hull, Sargur N. Srihari, IEEE Transactions on Pattern Analysis and Machine Intelligence, 16
  , 1, January 1994, 66-75.
• Perfect Metrics,
  Tin Kam Ho, Henry S. Baird, Proceedings of the Second International Conference on Document Analysis and Recognition, Tsukuba Science City, Japan, October 20-22, 1993, 593-597.
• Recognition of Handwritten Digits by Combining Independent Learning Vector Quantizations,
  Tin Kam Ho, Proceedings of the Second International Conference on Document Analysis and Recognition, Tsukuba Science City, Japan, October 20-22, 1993, 818-821.
• Pattern Recognition by Stochastic Modeling,
  Eugene M. Kleinberg, Tin Kam Ho, Proceedings of the Third International Workshop on Frontiers in Handwriting Recognition, Buffalo, NY, May 1993, 175-183.
• A Computational Model for Recognition of Multifont Word Images,
  Tin Kam Ho, Jonathan J. Hull, Sargur N. Srihari, Machine Vision and Applications, 5,
  1992, 157-168.
• A Word Shape Analysis Approach to Lexicon Based Word Recognition,
  Tin Kam Ho, Jonathan J. Hull, Sargur N. Srihari, Pattern Recognition Letters, 13
  , 1992, 821-826.
• Combination of Decisions by Multiple Classifiers,
  Tin Kam Ho, Jonathan J. Hull, Sargur N. Srihari, in H. Baird, H. Bunke, K. Yamamoto (eds.), Structured Document Image Analysis, Springer-Verlag, 1992, 188-202.
• Firm Name Recognition for Automatic Address Interpretation,
  Ping-Kit Wong, Tin Kam Ho, Sargur N. Srihari, Proceedings of the 5th USPS Advanced Technology Conference, Washington, D.C., November 1992, 757-770.
• Word Image Matching as a Technique for Degraded Text Recognition, Jonathan J. Hull, Siamak Khoubyari, Tin Kam Ho, Proceedings of the 11th International Conference on Pattern Recognition, The Hague, The Netherlands, Aug 30-Sep 3, 1992, 665-668.
• A Hypothesis Testing Approach to Word Recognition Using Dynamic Feature Selection,
  Liang Li, Tin Kam Ho, Jonathan J. Hull, Sargur N. Srihari, Proceedings of the 11th International Conference on Pattern Recognition, The Hague, The Netherlands, Aug 30-Sep 3, 1992, 586-589.
• On Multiple Classifier Systems for Pattern Recognition,
  Tin Kam Ho, Jonathan J. Hull, Sargur N. Srihari, Proceedings of the 11th International Conference on Pattern Recognition, The Hague, The Netherlands, Aug 30-Sep 3, 1992, 84-87.
• Visual Global Context: Word Image Matching in a Methodology for Degraded Text Recognition,
  Jonathan J. Hull, Siamak Khoubyari, Tin Kam Ho, Proceedings of the Symposium on Document Analysis and Information Retrieval, Las Vegas, NV, March 16-18, 1992.
• Contextual Analysis of Machine Printed Addresses,
  Peter Cullen, Tin Kam Ho, Jonathan J. Hull, Michal Prussak, Sargur N. Srihari, SPIE Proceedings Vol. 1661, Machine Vision Applications in Character Recognition and Industrial Inspection, San Jose, CA, February 10-12, 1992.
• A Regression Approach to Combination of Decisions by Multiple Character Recognition Algorithms,
  Tin Kam Ho, Jonathan J. Hull, Sargur N. Srihari, SPIE Proceedings Vol. 1661, Machine Vision Applications in Character Recognition and Industrial Inspection, San Jose, CA, February 10-12, 1992.
• A Theory of Multiple Classifier Systems and Its Application to Visual Word Recognition,
  Tin Kam Ho, Ph.D. Thesis, Dept. of Computer Science, State University of New York at Buffalo, February, 1992.
• Document Image Analysis and Recognition,
  Sargur N. Srihari, Stephen W. Lam, Peter B. Cullen, Tin Kam Ho, in N. Bourbakis (ed.), Artificial Intelligence Methods and Applications, World Scientific Publishing, 1992, 590-617.
• Word Recognition with Multi-Level Contextual Knowledge,
  Tin Kam Ho, Jonathan J. Hull, Sargur N. Srihari, Proceedings of the First International Conference on Document Analysis and Recognition, St. Malo, France, September 30 - October 2, 1991, 905-915.
• Combination of Segmentation-based and Wholistic Handwritten Word Recognition Algorithms,
  Jonathan J. Hull, Tin Kam Ho, John Favata, Venu Govindaraju, Sargur N. Srihari, Proceedings of the Second International Workshop on Frontiers in Handwriting Recognition, Bonas, France, September 1991, 229-240.
• Contextual Analysis of Machine Printed Addresses,
  Peter Cullen, Tin Kam Ho, Jonathan J. Hull, Michal Prussak, Sargur N. Srihari, Proceedings of the 4th USPS Advanced Technology Conference, Washington, D.C., November 1990, 779-793.
• A Word Shape Analysis Approach to Recognition of Degraded Word Images,
  Tin Kam Ho, Jonathan J. Hull, Sargur N. Srihari, Proceedings of the 4th USPS Advanced Technology Conference, Washington, D.C., November 1990, 217-231.
• Combination of Structural Classifiers,
  Tin Kam Ho, Jonathan J. Hull, Sargur N. Srihari, Pre-Processings, International Association for Pattern Recognition Workshop on Syntactic & Structural Pattern Recognition, Murray Hill, NJ, USA, June 13-15, 1990, 123-136.
• Multiple Algorithms for Handwritten Character Recognition,
  Jonathan J. Hull, Alan Commike, Tin Kam Ho, Proceedings of the First International Workshop on Frontiers in Handwriting Recognition, Montreal, Canada, April 1990, 117-124.
• Pictorial Knowledge and Space Object Surveillance and Identification,
  Edward T. Lee, Tzay Y. Young, Tin Kam Ho, Wasim Shomar, in Mark B. Fishman (ed.), Advances in Artificial Intelligence Research, JAI Press Inc., Volume 1, 1989, 309-345.
• A Knowledge Base for Space Object Surveillance and Identification,
  Tin Kam Ho, Master's Project Report, Department of Computer Science, Louisiana State University, Baton Rouge, 1987.
• Syntactic Approach to Image Analysis,
  Tin Kam Ho, Edward T. Lee, Tai-Tsung Ho, Proceedings of the ACM Computer Science Conference, St. Louis, MO, Feb 17-19, 1987, 395.