On multiple classifier systems for pattern recognition. - Tin Kam Ho; Jonathan J. Hull; Sargur N. Srihari (ICPR (2), 1992)

World image matching as a technique for degraded text recognition. - Jonathan J. Hull; Siamak Khoubyari; Tin Kam Ho (ICPR (2), 1992)

A hypothesis testing approach to word recognition using dynamic feature selection. - Liang Li; Tin Kam Ho; Jonathan J. Hull; Sargur N. Srihari (ICPR (2), 1992)

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

A word shape analysis approach to lexicon based word recognition. - Tin Kam Ho; Jonathan J. Hull; Sargur N. Srihari (Pattern Recognit. Lett., 1992)

Recognition of handwritten digits by combining independent learning vector quantizations. - Tin Kam Ho (ICDAR, 1993)

Perfect metrics. - Tin Kam Ho; Henry S. Baird (ICDAR, 1993)

Estimating the intrinsic difficulty of a recognition problem. - Tin Kam Ho; Henry S. Baird (ICPR (2), 1994)

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

Selection of image features for distribution-map classifiers. - Tin Kam Ho (Document Recognition, 1995)

Random decision forests. - Tin Kam Ho (ICDAR, 1995)

Adaptive Coordination of Multiple Classifiers. - Tin Kam Ho (DAS, 1996)

Commercial Exploitation of OCR and Document Analysis Systems Technology: Market and User Requirements: das'96 Working Group Report. - Stefan Knerr; Tin Kam Ho (DAS, 1996)

Building projectable classifiers of arbitrary complexity. - Tin Kam Ho; Eugene M. Kleinberg (ICPR, 1996)

Enhancing Degraded Document Images via Bitmap Clustering and Averaging. - John D. Hobby; Tin Kam Ho (ICDAR, 1997)

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

C4.5 decision forests. - Tin Kam Ho (ICPR, 1998)

Bootstrapping text recognition from stop words. - Tin Kam Ho (ICPR, 1998)

Nearest Neighbors in Random Subspaces. - Tin Kam Ho (SSPR/SPR, 1998)

Pattern Classification with Compact Distribution Maps. - Tin Kam Ho; Henry S. Baird (Comput. Vis. Image Underst., 1998)

The Random Subspace Method for Constructing Decision Forests. - Tin Kam Ho (IEEE Trans. Pattern Anal. Mach. Intell., 1998)

Fast Identification of Stop Words for Font Learning and Keyword Spotting. - Tin Kam Ho (ICDAR, 1999)

The learning behavior of single neuron classifiers on linearly separable or nonseparable input. - Mitra Basu; Tin Kam Ho (IJCNN, 1999)

Evaluation of decision forests on text categorization. - Hao Chen 003; Tin Kam Ho (Document Recognition and Retrieval, 2000)

Measuring the Complexity of Classification Problems. - Tin Kam Ho; Mitra Basu (ICPR, 2000)

OCR with No Shape Training. - Tin Kam Ho; George Nagy (ICPR, 2000)

Complexity of Classification Problems and Comparative Advantages of Combined Classifiers. - Tin Kam Ho (Multiple Classifier Systems, 2000)

Stop word location and identification for adaptive text recognition. - Tin Kam Ho (Int. J. Document Anal. Recognit., 2000)

Exploration of Contextual Constraints for Character Pre-Classification. - Tin Kam Ho; George Nagy (ICDAR, 2001)

Data Complexity Analysis for Classifier Combination. - Tin Kam Ho (Multiple Classifier Systems, 2001)

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

Uniformity Testing Using Minimal Spanning Tree. - Anil K. Jain 001; Xiaowei Xu; Tin Kam Ho; Fan Xiao (ICPR (4), 2002)

A Data Complexity Analysis of Comparative Advantages of Decision Forest Constructors. - Tin Kam Ho (Pattern Anal. Appl., 2002)

Complexity Measures of Supervised Classification Problems. - Tin Kam Ho; Mitra Basu (IEEE Trans. Pattern Anal. Mach. Intell., 2002)

SEQUIN: An SNMP-based MPLS network monitoring system. - Marina Thottan; George K. Swanson; Michael Cantone; Tin Kam Ho; Yansong (Jennifer) Ren; Sanjoy Paul (Bell Labs Tech. J., 2003)

Interactive Tools for Pattern Discovery. - Tin Kam Ho (ICPR (2), 2004)

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

Geometrical Complexity of Classification Problems - Tin Kam Ho (CoRR, 2004)

A Numerical Example on the Principles of Stochastic Discrimination - Tin Kam Ho (CoRR, 2004)

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

Article retraction: Least-squares fitting for deformable superquadric model based on orthogonal distance. - Tin Kam Ho (Pattern Recognit. Lett., 2005)

Editorial. - Tin Kam Ho (Pattern Recognit. Lett., 2005)

Domain of competence of XCS classifier system in complexity measurement space. - Ester Bernadó-Mansilla; Tin Kam Ho (IEEE Trans. Evol. Comput., 2005)

A Statistical Approach to Anomaly Detection in Interdomain Routing. - Shivani Deshpande; Marina Thottan; Tin Kam Ho; Biplab Sikdar 001 (BROADNETS, 2006)

Exploratory Analysis System for Semi-structured Engineering Logs. - Michael Flaster; Bruce Hillyer; Tin Kam Ho (Document Analysis Systems, 2006)

Hyper-Rectangular and k-Nearest-Neighbor Models in Stochastic Discrimination. - Iryna Skrypnyk; Tin Kam Ho (DMIN, 2006)

Class Separability in Spaces Reduced By Feature Selection. - Erinija Pranckeviciene; Tin Kam Ho; Ray L. Somorjai (ICPR (3), 2006)

Symmetries from Uniform Space Covering in Stochastic Discrimination. - Tin Kam Ho (SSPR/SPR, 2006)

Recent submissions in linear dimensionality reduction and face recognition. - Robert P. W. Duin; Marco Loog; Tin Kam Ho (Pattern Recognit. Lett., 2006)

Intuitive Network Applications: Learning for Personalized Converged Services Involving Social Networks. - Robert Dinoff; Tin Kam Ho; Richard Hull 001; Bharat Kumar; Daniel F. Lieuwen; Paulo Santos 002; Haobo Ren (J. Comput., 2007)

Generating hypotheses of trends in high-dimensional data skeletons. - Chandan K. Reddy; Snehal Pokharkar; Tin Kam Ho (IEEE VAST, 2008)

Mobile User Profile Acquisition through Network Observables and Explicit User Queries. - Nilton Bila; Jin Cao; Robert Dinoff; Tin Kam Ho; Richard Hull 001; Bharat Kumar; Paulo Santos 002 (MDM, 2008)

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

Intuitive network applications: Learning user context and behavior. - Nilton Bila; Jin Cao; Robert Dinoff; Tin Kam Ho; Bharat Kumar; Daniel F. Lieuwen; Paulo Santos 002 (Bell Labs Tech. J., 2008)

Opportunities for automated inference with data in tomorrow's communication networks and services. - Tin Kam Ho; Thomas Bengtsson (Bell Labs Tech. J., 2009)

An Online Mechanism for BGP Instability Detection and Analysis. - Shivani Deshpande; Marina Thottan; Tin Kam Ho; Biplab Sikdar 001 (IEEE Trans. Computers, 2009)

The Landscape Contest at ICPR 2010. - Núria Macià; Tin Kam Ho; Albert Orriols-Puig; Ester Bernadó-Mansilla (ICPR Contests, 2010)

A diagnostic tool for Raman amplification in ultra-long-haul networks. - Thomas Bengtsson; Tin Kam Ho; Todd Salamon; Christopher A. White (Bell Labs Tech. J., 2010)

Model-Based Anomaly Detection for a Transparent Optical Transmission System. - Thomas Bengtsson; Todd Salamon; Tin Kam Ho; Christopher A. White (Algorithms for Next Generation Networks, 2010)

On the inefficacy of Euclidean classifiers for detecting self-similar Session Initiation Protocol (SIP) messages. - Anil Mehta; Neda Hantehzadeh; Vijay K. Gurbani; Tin Kam Ho; Jun Koshiko; Ramanarayanan Viswanathan 002 (Integrated Network Management, 2011)

KL-divergence kernel regression for non-Gaussian fingerprint based localization. - Piotr Mirowski; Harald Steck; Philip Whiting; Ravishankar Palaniappan; Michael MacDonald; Tin Kam Ho (IPIN, 2011)

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

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

Improving cross-validation based classifier selection using meta-learning. - Jesse H. Krijthe; Tin Kam Ho; Marco Loog (ICPR, 2012)

Depth camera SLAM on a low-cost WiFi mapping robot. - Piotr Mirowski; Ravishankar Palaniappan; Tin Kam Ho (TePRA, 2012)

Public Space Behavior Modeling With Video and Sensor Analytics. - Tin Kam Ho; Kim Matthews; Lawrence O'Gorman; Harald Steck (Bell Labs Tech. J., 2012)

Probability kernel regression for WiFi localisation. - Piotr Mirowski; Philip Whiting; Harald Steck; Ravishankar Palaniappan; Michael MacDonald; Detlef Hartmann; Tin Kam Ho (J. Locat. Based Serv., 2012)

SignalSLAM: Simultaneous localization and mapping with mixed WiFi, Bluetooth, LTE and magnetic signals. - Piotr Mirowski; Tin Kam Ho; Saehoon Yi; Michael MacDonald (IPIN, 2013)

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

Building Optimal Radio-Frequency Signal Maps. - Piotr Mirowski; Tin Kam Ho; Philip Whiting (ICPR, 2014)

Pose Invariant Activity Classification for Multi-floor Indoor Localization. - Saehoon Yi; Piotr Mirowski; Tin Kam Ho; Vladimir Pavlovic 001 (ICPR, 2014)

A Multi-Layer Dynamic Model for Customer Experience Analytics. - Sining Chen; Tin Kam Ho; Avinash Vyas; Jin Cao; Jeffrey Spiess (Bell Labs Tech. J., 2014)

Overview. - Tin Kam Ho; Philippe Jacquet (Bell Labs Tech. J., 2014)

Demand Forecasting in Smart Grids. - Piotr Mirowski; Sining Chen; Tin Kam Ho; Chun-Nam Yu (Bell Labs Tech. J., 2014)

Probabilistic Radio-Frequency Fingerprinting and Localization on the Run. - Piotr Mirowski; Dimitris Milioris; Philip Whiting; Tin Kam Ho (Bell Labs Tech. J., 2014)

Motion feature filtering for event detection in crowded scenes. - Lawrence O'Gorman; Yafeng Yin; Tin Kam Ho (Pattern Recognit. Lett., 2014)

Design of the 2015 ChaLearn AutoML challenge. - Isabelle Guyon; Kristin P. Bennett; Gavin C. Cawley; Hugo Jair Escalante; Sergio Escalera; Tin Kam Ho; Núria Macià; Bisakha Ray; Mehreen Saeed; Alexander R. Statnikov; Evelyne Viegas (IJCNN, 2015)

Mitigating Mimicry Attacks Against the Session Initiation Protocol. - Samuel Marchal; Anil Mehta; Vijay K. Gurbani; Radu State; Tin Kam Ho; Flavia Sancier-Barbosa (IEEE Trans. Netw. Serv. Manag., 2015)

Concept Evolution Modeling Using Semantic Vectors. - Tin Kam Ho; Luis A. Lastras; Oded Shmueli (WWW (Companion Volume), 2016)

A Sparse Coding Approach to Household Electricity Demand Forecasting in Smart Grids. - Chun-Nam Yu; Piotr Mirowski; Tin Kam Ho (IEEE Trans. Smart Grid, 2017)

Classifier Recommendation Using Data Complexity Measures. - Luís Paulo F. Garcia; Ana Carolina Lorena; Marcilio C. P. de Souto; Tin Kam Ho (ICPR, 2018)

Bootstrapping Conversational Agents with Weak Supervision. - Neil Mallinar; Abhishek Shah; Rajendra Ugrani; Ayush Gupta; Manikandan Gurusankar; Tin Kam Ho; Q. Vera Liao; Yunfeng Zhang; Rachel K. E. Bellamy; Robert Yates; Chris Desmarais; Blake McGregor (AAAI, 2019)

How Complex Is Your Classification Problem?: A Survey on Measuring Classification Complexity. - Ana Carolina Lorena; Luís Paulo F. Garcia; Jens Lehmann 001; Marcílio Carlos Pereira de Souto; Tin Kam Ho (ACM Comput. Surv., 2019)

Iterative Data Programming for Expanding Text Classification Corpora. - Neil Mallinar; Abhishek Shah; Tin Kam Ho; Rajendra Ugrani; Ayush Gupta (AAAI, 2020)

Special issue on recent advances in statistical, structural and syntactic pattern recognition. - Xiao Bai 001; Edwin R. Hancock; Richard C. Wilson 001; Tin Kam Ho (Pattern Recognit. Lett., 2020)

Complexity of Representations in Deep Learning. - Tin Kam Ho (ICPR, 2022)

Interpretability, Reproducibility, and Replicability [From the Guest Editors]. - Tülay Adali; Rodrigo Capobianco Guido; Tin Kam Ho; Klaus-Robert Müller; Stephen C. Strother (IEEE Signal Process. Mag., 2022)

Explainability of Methods for Critical Information Extraction From Clinical Documents: A survey of representative works. - Tin Kam Ho; Yen-Fu Luo; Rodrigo Capobianco Guido (IEEE Signal Process. Mag., 2022)