Tin Kam Ho

Núria Macià, Ester Bernadó-Mansilla, Albert Orriols-Puig, Tin Kam Ho: Learner excellence biased by data set selection: A case for data characterisation and artificial data sets. Pattern Recognition 46(3): 1054-1066 (2013)

Tin Kam Ho, Kim Matthews, Lawrence O'Gorman, Harald Steck: Public Space Behavior Modeling With Video and Sensor Analytics. Bell Labs Technical Journal 16(4): 203-217 (2012)

Piotr Mirowski, Philip Whiting, Harald Steck, Ravishankar Palaniappan, Michael MacDonald, Detlef Hartmann, Tin Kam Ho: Probability kernel regression for WiFi localisation. J. Location Based Services 6(2): 81-100 (2012)

Anil Mehta, Neda Hantehzadeh, Vijay K. Gurbani, Tin Kam Ho, Flavia Sander: On using multiple classifier systems for Session Initiation Protocol (SIP) anomaly detection. ICC 2012: 1101-1106

Jesse H. Krijthe, Tin Kam Ho, Marco Loog: Improving cross-validation based classifier selection using meta-learning. ICPR 2012: 2873-2876

Anil Mehta, Neda Hantehzadeh, Vijay K. Gurbani, Tin Kam Ho, Jun Koshiko, Ramanarayanan Viswanathan: On the inefficacy of Euclidean classifiers for detecting self-similar Session Initiation Protocol (SIP) messages. Integrated Network Management 2011: 329-336

Neda Hantehzadeh, Anil Mehta, Vijay K. Gurbani, Lalit Gupta, Tin Kam Ho, Gayan Wilathgamuwa: Statistical Analysis of Self-Similar Session Initiation Protocol (SIP) Messages for Anomaly Detection. NTMS 2011: 1-5

Thomas Bengtsson, Tin Kam Ho, Todd Salamon, Christopher A. White: A diagnostic tool for Raman amplification in ultra-long-haul networks. Bell Labs Technical Journal 14(4): 61-72 (2010)

Núria Macià, Tin Kam Ho, Albert Orriols-Puig, Ester Bernadó-Mansilla: The Landscape Contest at ICPR 2010. ICPR Contests 2010: 29-45

Tin Kam Ho, Thomas Bengtsson: Opportunities for automated inference with data in tomorrow's communication networks and services. Bell Labs Technical Journal 14(3): 193-206 (2009)

Shivani Deshpande, Marina Thottan, Tin Kam Ho, Biplab Sikdar: An Online Mechanism for BGP Instability Detection and Analysis. IEEE Trans. Computers 58(11): 1470-1484 (2009)

Nilton Bila, Jin Cao, Robert Dinoff, Tin Kam Ho, Bharat Kumar, Daniel F. Lieuwen, Paulo Santos: Intuitive network applications: Learning user context and behavior. Bell Labs Technical Journal 13(2): 31-47 (2008)

Chandan K. Reddy, Snehal Pokharkar, Tin Kam Ho: Generating hypotheses of trends in high-dimensional data skeletons. IEEE VAST 2008: 139-146

Nilton Bila, Jin Cao, Robert Dinoff, Tin Kam Ho, Richard Hull, Bharat Kumar, Paulo Santos: Mobile User Profile Acquisition through Network Observables and Explicit User Queries. MDM 2008: 98-107

Tin Kam Ho: Data Complexity Analysis: Linkage between Context and Solution in Classification. SSPR/SPR 2008: 1

Tin Kam Ho: Data Complexity Analysis: Linkage between Context and Solution in Classification. SSPR/SPR 2008: 986-995

Robert Dinoff, Tin Kam Ho, Richard Hull, Bharat Kumar, Daniel F. Lieuwen, Paulo Santos, Haobo Ren: Intuitive Network Applications: Learning for Personalized Converged Services Involving Social Networks. JCP 2(6): 72-84 (2007)

Robert P. W. Duin, Marco Loog, Tin Kam Ho: Recent submissions in linear dimensionality reduction and face recognition. Pattern Recognition Letters 27(7): 707-708 (2006)

Shivani Deshpande, Marina Thottan, Tin Kam Ho, Biplab Sikdar: A Statistical Approach to Anomaly Detection in Interdomain Routing. BROADNETS 2006

Michael Flaster, Bruce Hillyer, Tin Kam Ho: Exploratory Analysis System for Semi-structured Engineering Logs. Document Analysis Systems 2006: 291-301

Iryna Skrypnyk, Tin Kam Ho: Hyper-Rectangular and k-Nearest-Neighbor Models in Stochastic Discrimination. DMIN 2006: 57-63

Tin Kam Ho: Symmetries from Uniform Space Covering in Stochastic Discrimination. SSPR/SPR 2006: 22-40

Tin Kam Ho, Todd Salamon, Roland W. Freund, Christopher A. White, Bruce Hillyer, Lawrence C. Cowsar, Carl J. Nuzman, Daniel C. Kilper: Simulation of power evolution and control dynamics in optical transport systems. Bell Labs Technical Journal 10(1): 119-137 (2005)

Tin Kam Ho: Article retraction: Least-squares fitting for deformable superquadric model based on orthogonal distance. Pattern Recognition Letters 26(6): 685-686 (2005)

Tin Kam Ho: Editorial. Pattern Recognition Letters 26(13): 1947- (2005)

Ester Bernadó-Mansilla, Tin Kam Ho: Domain of competence of XCS classifier system in complexity measurement space. IEEE Trans. Evolutionary Computation 9(1): 82-104 (2005)

Ester Bernadó i Mansilla, Tin Kam Ho: On Classifier Domains of Competence. ICPR (1) 2004: 136-139

Tin Kam Ho: Interactive Tools for Pattern Discovery. ICPR (2) 2004: 509-512

Tin Kam Ho: Geometrical Complexity of Classification Problems. CoRR cs.CV/0402020 (2004)

Tin Kam Ho: A Numerical Example on the Principles of Stochastic Discrimination. CoRR cs.CV/0402021 (2004)

Marina Thottan, George K. Swanson, Michael Cantone, Tin Kam Ho, Yansong (Jennifer) Ren, Sanjoy Paul: SEQUIN: An SNMP-based MPLS network monitoring system. Bell Labs Technical Journal 8(1): 95-111 (2003)

Tin Kam Ho: A Data Complexity Analysis of Comparative Advantages of Decision Forest Constructors. Pattern Anal. Appl. 5(2): 102-112 (2002)

Tin Kam Ho, Mitra Basu: Complexity Measures of Supervised Classification Problems. IEEE Trans. Pattern Anal. Mach. Intell. 24(3): 289-300 (2002)

Tin Kam Ho: Exploratory Analysis of Point Proximity in Subspaces. ICPR (2) 2002: 196-199

Anil K. Jain, Xiaowei Xu, Tin Kam Ho, Fan Xiao: Uniformity Testing Using Minimal Spanning Tree. ICPR (4) 2002: 281-284

Tin Kam Ho, George Nagy: Exploration of Contextual Constraints for Character Pre-Classification. ICDAR 2001: 450-454

Tin Kam Ho: Data Complexity Analysis for Classifier Combination. Multiple Classifier Systems 2001: 53-67

Tin Kam Ho: Stop word location and identification for adaptive text recognition. IJDAR 3(1): 16-26 (2000)

Tin Kam Ho, Mitra Basu: Measuring the Complexity of Classification Problems. ICPR 2000: 2043-2047

Tin Kam Ho, George Nagy: OCR with No Shape Training. ICPR 2000: 4027-4030

Tin Kam Ho: Complexity of Classification Problems and Comparative Advantages of Combined Classifiers. Multiple Classifier Systems 2000: 97-106

Tin Kam Ho: Fast Identification of Stop Words for Font Learning and Keyword Spotting. ICDAR 1999: 333-336

Tin Kam Ho, Henry S. Baird: Pattern Classification with Compact Distribution Maps. Computer Vision and Image Understanding 70(1): 101-110 (1998)

Tin Kam Ho: The Random Subspace Method for Constructing Decision Forests. IEEE Trans. Pattern Anal. Mach. Intell. 20(8): 832-844 (1998)

Tin Kam Ho: Nearest Neighbors in Random Subspaces. SSPR/SPR 1998: 640-648

Tin Kam Ho, Henry S. Baird: Large-Scale Simulation Studies in Image Pattern Recognition. IEEE Trans. Pattern Anal. Mach. Intell. 19(10): 1067-1079 (1997)

John D. Hobby, Tin Kam Ho: Enhancing Degraded Document Images via Bitmap Clustering and Averaging. ICDAR 1997: 394-400

Tin Kam Ho: Random decision forests. ICDAR 1995: 278-

Tin Kam Ho, Jonathan J. Hull, Sargur N. Srihari: Decision Combination in Multiple Classifier Systems. IEEE Trans. Pattern Anal. Mach. Intell. 16(1): 66-75 (1994)

Tin Kam Ho, Jonathan J. Hull, Sargur N. Srihari: A computational model for recognition of multifont word images. Mach. Vis. Appl. 5(3): 157-168 (1992)

Tin Kam Ho, Jonathan J. Hull, Sargur N. Srihari: A word shape analysis approach to lexicon based word recognition. Pattern Recognition Letters 13(11): 821-826 (1992)