Tin Kam Ho

Publication Activity (10 Years)

Years Active: 1992-2022
Publications (10 Years): 14

Top Topics

Conversational Agents

Indoor Localization

Demand Forecasting

Correct Classification

Top Venues

Bell Labs Tech. J.

Publications

Tin Kam Ho, Yen-Fu Luo, Rodrigo Capobianco Guido
Explainability of Methods for Critical Information Extraction From Clinical Documents: A survey of representative works. IEEE Signal Process. Mag. 39 (4) (2022)
Tin Kam Ho
Complexity of Representations in Deep Learning. ICPR (2022)
Tülay Adali, Rodrigo Capobianco Guido, Tin Kam Ho, Klaus-Robert Müller, Stephen C. Strother
Interpretability, Reproducibility, and Replicability [From the Guest Editors]. IEEE Signal Process. Mag. 39 (4) (2022)
Tin Kam Ho
Complexity of Representations in Deep Learning. CoRR (2022)
Neil Mallinar, Abhishek Shah, Tin Kam Ho, Rajendra Ugrani, Ayush Gupta
Iterative Data Programming for Expanding Text Classification Corpora. CoRR (2020)
Xiao Bai, Edwin R. Hancock, Richard C. Wilson, Tin Kam Ho
Special issue on recent advances in statistical, structural and syntactic pattern recognition. Pattern Recognit. Lett. 131 (2020)
Neil Mallinar, Abhishek Shah, Tin Kam Ho, Rajendra Ugrani, Ayush Gupta
Iterative Data Programming for Expanding Text Classification Corpora. AAAI (2020)
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
Bootstrapping Conversational Agents with Weak Supervision. AAAI (2019)
Ana Carolina Lorena, Luís Paulo F. Garcia, Jens Lehmann, Marcílio Carlos Pereira de Souto, Tin Kam Ho
How Complex Is Your Classification Problem?: A Survey on Measuring Classification Complexity. ACM Comput. Surv. 52 (5) (2019)
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
Bootstrapping Conversational Agents With Weak Supervision. CoRR (2018)
Luís Paulo F. Garcia, Ana Carolina Lorena, Marcilio C. P. de Souto, Tin Kam Ho
Classifier Recommendation Using Data Complexity Measures. ICPR (2018)
Ana Carolina Lorena, Luís Paulo F. Garcia, Jens Lehmann, Marcilio C. P. de Souto, Tin Kam Ho
How Complex is your classification problem? A survey on measuring classification complexity. CoRR (2018)
Chun-Nam Yu, Piotr Mirowski, Tin Kam Ho
A Sparse Coding Approach to Household Electricity Demand Forecasting in Smart Grids. IEEE Trans. Smart Grid 8 (2) (2017)
Tin Kam Ho, Luis A. Lastras, Oded Shmueli
Concept Evolution Modeling Using Semantic Vectors. WWW (Companion Volume) (2016)
Samuel Marchal, Anil Mehta, Vijay K. Gurbani, Radu State, Tin Kam Ho, Flavia Sancier-Barbosa
Mitigating Mimicry Attacks Against the Session Initiation Protocol. IEEE Trans. Netw. Serv. Manag. 12 (3) (2015)
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
Design of the 2015 ChaLearn AutoML challenge. IJCNN (2015)
Piotr Mirowski, Sining Chen, Tin Kam Ho, Chun-Nam Yu
Demand Forecasting in Smart Grids. Bell Labs Tech. J. 18 (4) (2014)
Piotr Mirowski, Tin Kam Ho, Philip Whiting
Building Optimal Radio-Frequency Signal Maps. ICPR (2014)
Lawrence O'Gorman, Yafeng Yin, Tin Kam Ho
Motion feature filtering for event detection in crowded scenes. Pattern Recognit. Lett. 44 (2014)
Saehoon Yi, Piotr Mirowski, Tin Kam Ho, Vladimir Pavlovic
Pose Invariant Activity Classification for Multi-floor Indoor Localization. ICPR (2014)
Piotr Mirowski, Dimitris Milioris, Philip Whiting, Tin Kam Ho
Probabilistic Radio-Frequency Fingerprinting and Localization on the Run. Bell Labs Tech. J. 18 (4) (2014)
Tin Kam Ho, Philippe Jacquet
Overview. Bell Labs Tech. J. 18 (4) (2014)
Sining Chen, Tin Kam Ho, Avinash Vyas, Jin Cao, Jeffrey Spiess
A Multi-Layer Dynamic Model for Customer Experience Analytics. Bell Labs Tech. J. 18 (4) (2014)
Piotr Mirowski, Tin Kam Ho, Saehoon Yi, Michael MacDonald
SignalSLAM: Simultaneous localization and mapping with mixed WiFi, Bluetooth, LTE and magnetic signals. IPIN (2013)
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 Recognit. 46 (3) (2013)
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)
Piotr Mirowski, Philip Whiting, Harald Steck, Ravishankar Palaniappan, Michael MacDonald, Detlef Hartmann, Tin Kam Ho
Probability kernel regression for WiFi localisation. J. Locat. Based Serv. 6 (2) (2012)
Jesse H. Krijthe, Tin Kam Ho, Marco Loog
Improving cross-validation based classifier selection using meta-learning. ICPR (2012)
Piotr Mirowski, Ravishankar Palaniappan, Tin Kam Ho
Depth camera SLAM on a low-cost WiFi mapping robot. TePRA (2012)
Tin Kam Ho, Kim Matthews, Lawrence O'Gorman, Harald Steck
Public Space Behavior Modeling With Video and Sensor Analytics. Bell Labs Tech. J. 16 (4) (2012)
Piotr Mirowski, Harald Steck, Philip Whiting, Ravishankar Palaniappan, Michael MacDonald, Tin Kam Ho
KL-divergence kernel regression for non-Gaussian fingerprint based localization. IPIN (2011)
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)
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)
Thomas Bengtsson, Tin Kam Ho, Todd Salamon, Christopher A. White
A diagnostic tool for Raman amplification in ultra-long-haul networks. Bell Labs Tech. J. 14 (4) (2010)
Núria Macià, Tin Kam Ho, Albert Orriols-Puig, Ester Bernadó-Mansilla
The Landscape Contest at ICPR 2010. ICPR Contests (2010)
Tin Kam Ho, Thomas Bengtsson
Opportunities for automated inference with data in tomorrow's communication networks and services. Bell Labs Tech. J. 14 (3) (2009)
Shivani Deshpande, Marina Thottan, Tin Kam Ho, Biplab Sikdar
An Online Mechanism for BGP Instability Detection and Analysis. IEEE Trans. Computers 58 (11) (2009)
Chandan K. Reddy, Snehal Pokharkar, Tin Kam Ho
Generating hypotheses of trends in high-dimensional data skeletons. IEEE VAST (2008)
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)
Tin Kam Ho
Data Complexity Analysis: Linkage between Context and Solution in Classification. SSPR/SPR (2008)
Tin Kam Ho
Data Complexity Analysis: Linkage between Context and Solution in Classification. SSPR/SPR (2008)
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 Tech. J. 13 (2) (2008)
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. J. Comput. 2 (6) (2007)
Shivani Deshpande, Marina Thottan, Tin Kam Ho, Biplab Sikdar
A Statistical Approach to Anomaly Detection in Interdomain Routing. BROADNETS (2006)
Iryna Skrypnyk, Tin Kam Ho
Hyper-Rectangular and k-Nearest-Neighbor Models in Stochastic Discrimination. DMIN (2006)
Tin Kam Ho
Symmetries from Uniform Space Covering in Stochastic Discrimination. SSPR/SPR (2006)
Robert P. W. Duin, Marco Loog, Tin Kam Ho
Recent submissions in linear dimensionality reduction and face recognition. Pattern Recognit. Lett. 27 (7) (2006)
Michael Flaster, Bruce Hillyer, Tin Kam Ho
Exploratory Analysis System for Semi-structured Engineering Logs. Document Analysis Systems (2006)
Tin Kam Ho
Article retraction: Least-squares fitting for deformable superquadric model based on orthogonal distance. Pattern Recognit. Lett. 26 (6) (2005)
Tin Kam Ho
Editorial. Pattern Recognit. Lett. 26 (13) (2005)
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 Tech. J. 10 (1) (2005)
Ester Bernadó-Mansilla, Tin Kam Ho
Domain of competence of XCS classifier system in complexity measurement space. IEEE Trans. Evol. Comput. 9 (1) (2005)
Ester Bernadó i Mansilla, Tin Kam Ho
On Classifier Domains of Competence. ICPR (1) (2004)
Tin Kam Ho
Geometrical Complexity of Classification Problems CoRR (2004)
Tin Kam Ho
A Numerical Example on the Principles of Stochastic Discrimination CoRR (2004)
Tin Kam Ho
Interactive Tools for Pattern Discovery. ICPR (2) (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 Tech. J. 8 (1) (2003)
Tin Kam Ho
A Data Complexity Analysis of Comparative Advantages of Decision Forest Constructors. Pattern Anal. Appl. 5 (2) (2002)
Tin Kam Ho, Mitra Basu
Complexity Measures of Supervised Classification Problems. IEEE Trans. Pattern Anal. Mach. Intell. 24 (3) (2002)
Anil K. Jain, Xiaowei Xu, Tin Kam Ho, Fan Xiao
Uniformity Testing Using Minimal Spanning Tree. ICPR (4) (2002)
Tin Kam Ho
Exploratory Analysis of Point Proximity in Subspaces. ICPR (2) (2002)
Tin Kam Ho, George Nagy
Exploration of Contextual Constraints for Character Pre-Classification. ICDAR (2001)
Tin Kam Ho
Data Complexity Analysis for Classifier Combination. Multiple Classifier Systems (2001)
Tin Kam Ho
Complexity of Classification Problems and Comparative Advantages of Combined Classifiers. Multiple Classifier Systems (2000)
Tin Kam Ho, George Nagy
OCR with No Shape Training. ICPR (2000)
Tin Kam Ho, Mitra Basu
Measuring the Complexity of Classification Problems. ICPR (2000)
Hao Chen, Tin Kam Ho
Evaluation of decision forests on text categorization. Document Recognition and Retrieval (2000)
Tin Kam Ho
Stop word location and identification for adaptive text recognition. Int. J. Document Anal. Recognit. 3 (1) (2000)
Mitra Basu, Tin Kam Ho
The learning behavior of single neuron classifiers on linearly separable or nonseparable input. IJCNN (1999)
Tin Kam Ho
Fast Identification of Stop Words for Font Learning and Keyword Spotting. ICDAR (1999)
Tin Kam Ho
C4.5 decision forests. ICPR (1998)
Tin Kam Ho, Henry S. Baird
Pattern Classification with Compact Distribution Maps. Comput. Vis. Image Underst. 70 (1) (1998)
Tin Kam Ho
Bootstrapping text recognition from stop words. ICPR (1998)
Tin Kam Ho
The Random Subspace Method for Constructing Decision Forests. IEEE Trans. Pattern Anal. Mach. Intell. 20 (8) (1998)
Tin Kam Ho
Nearest Neighbors in Random Subspaces. SSPR/SPR (1998)
John D. Hobby, Tin Kam Ho
Enhancing Degraded Document Images via Bitmap Clustering and Averaging. ICDAR (1997)
Tin Kam Ho, Henry S. Baird
Large-Scale Simulation Studies in Image Pattern Recognition. IEEE Trans. Pattern Anal. Mach. Intell. 19 (10) (1997)
Tin Kam Ho, Eugene M. Kleinberg
Building projectable classifiers of arbitrary complexity. ICPR (1996)
Stefan Knerr, Tin Kam Ho
Commercial Exploitation of OCR and Document Analysis Systems Technology: Market and User Requirements: das'96 Working Group Report. DAS (1996)
Tin Kam Ho
Adaptive Coordination of Multiple Classifiers. DAS (1996)
Tin Kam Ho
Random decision forests. ICDAR (1995)
Tin Kam Ho
Selection of image features for distribution-map classifiers. Document Recognition (1995)
Tin Kam Ho, Henry S. Baird
Estimating the intrinsic difficulty of a recognition problem. ICPR (2) (1994)
Tin Kam Ho, Jonathan J. Hull, Sargur N. Srihari
Decision Combination in Multiple Classifier Systems. IEEE Trans. Pattern Anal. Mach. Intell. 16 (1) (1994)
Tin Kam Ho, Henry S. Baird
Perfect metrics. ICDAR (1993)
Tin Kam Ho
Recognition of handwritten digits by combining independent learning vector quantizations. ICDAR (1993)
Liang Li, Tin Kam Ho, Jonathan J. Hull, Sargur N. Srihari
A hypothesis testing approach to word recognition using dynamic feature selection. ICPR (2) (1992)
Jonathan J. Hull, Siamak Khoubyari, Tin Kam Ho
World image matching as a technique for degraded text recognition. ICPR (2) (1992)
Tin Kam Ho, Jonathan J. Hull, Sargur N. Srihari
A computational model for recognition of multifont word images. Mach. Vis. Appl. 5 (3) (1992)
Tin Kam Ho, Jonathan J. Hull, Sargur N. Srihari
A word shape analysis approach to lexicon based word recognition. Pattern Recognit. Lett. 13 (11) (1992)
Tin Kam Ho, Jonathan J. Hull, Sargur N. Srihari
On multiple classifier systems for pattern recognition. ICPR (2) (1992)