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2020 – today
- 2022
[j34]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): 5-7 (2022)- [j33]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): 96-106 (2022) - [c52]Tin Kam Ho:
Complexity of Representations in Deep Learning. ICPR 2022: 2657-2663 - [i6]Tin Kam Ho:
Complexity of Representations in Deep Learning. CoRR abs/2209.00525 (2022) - 2020
- [j32]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: 46-48 (2020) - [c51]Neil Mallinar, Abhishek Shah, Tin Kam Ho, Rajendra Ugrani, Ayush Gupta:
Iterative Data Programming for Expanding Text Classification Corpora. AAAI 2020: 13332-13337 - [e2]Rajesh Bordawekar, Oded Shmueli, Nesime Tatbul, Tin Kam Ho:
Proceedings of the Third International Workshop on Exploiting Artificial Intelligence Techniques for Data Management, aiDM@SIGMOD 2020, Portland, Oregon, USA, June 19, 2020. ACM 2020, ISBN 978-1-4503-8029-4 [contents] - [i5]Neil Mallinar, Abhishek Shah, Tin Kam Ho, Rajendra Ugrani, Ayush Gupta:
Iterative Data Programming for Expanding Text Classification Corpora. CoRR abs/2002.01412 (2020)
2010 – 2019
- 2019
- [j31]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): 107:1-107:34 (2019) - [c50]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: 9528-9533 - 2018
- [c49]Luís Paulo F. Garcia, Ana Carolina Lorena, Marcilio C. P. de Souto, Tin Kam Ho:
Classifier Recommendation Using Data Complexity Measures. ICPR 2018: 874-879 - [e1]Xiao Bai, Edwin R. Hancock, Tin Kam Ho, Richard C. Wilson, Battista Biggio, Antonio Robles-Kelly:
Structural, Syntactic, and Statistical Pattern Recognition - Joint IAPR International Workshop, S+SSPR 2018, Beijing, China, August 17-19, 2018, Proceedings. Lecture Notes in Computer Science 11004, Springer 2018, ISBN 978-3-319-97784-3 [contents] - [i4]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 abs/1808.03591 (2018) - [i3]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 abs/1812.06176 (2018) - 2017
- [j30]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): 738-748 (2017) - 2016
- [c48]Tin Kam Ho, Luis A. Lastras, Oded Shmueli:
Concept Evolution Modeling Using Semantic Vectors. WWW (Companion Volume) 2016: 45-46 - 2015
- [j29]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): 467-482 (2015) - [c47]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: 1-8 - 2014
- [j28]Tin Kam Ho, Philippe Jacquet:
Overview. Bell Labs Tech. J. 18(4): 1-2 (2014) - [j27]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): 19-32 (2014) - [j26]Piotr Mirowski, Dimitris Milioris, Philip Whiting, Tin Kam Ho:
Probabilistic Radio-Frequency Fingerprinting and Localization on the Run. Bell Labs Tech. J. 18(4): 111-133 (2014) - [j25]Piotr Mirowski, Sining Chen, Tin Kam Ho, Chun-Nam Yu:
Demand Forecasting in Smart Grids. Bell Labs Tech. J. 18(4): 135-158 (2014) - [j24]Lawrence O'Gorman, Yafeng Yin, Tin Kam Ho:
Motion feature filtering for event detection in crowded scenes. Pattern Recognit. Lett. 44: 80-87 (2014) - [c46]Piotr Mirowski, Tin Kam Ho, Philip Whiting:
Building Optimal Radio-Frequency Signal Maps. ICPR 2014: 978-983 - [c45]Saehoon Yi, Piotr Mirowski, Tin Kam Ho, Vladimir Pavlovic:
Pose Invariant Activity Classification for Multi-floor Indoor Localization. ICPR 2014: 3505-3510 - 2013
- [j23]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): 1054-1066 (2013) - [c44]Piotr Mirowski, Tin Kam Ho, Saehoon Yi, Michael MacDonald:
SignalSLAM: Simultaneous localization and mapping with mixed WiFi, Bluetooth, LTE and magnetic signals. IPIN 2013: 1-10 - 2012
- [j22]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): 203-217 (2012) - [j21]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): 81-100 (2012) - [c43]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 - [c42]Jesse H. Krijthe, Tin Kam Ho, Marco Loog:
Improving cross-validation based classifier selection using meta-learning. ICPR 2012: 2873-2876 - [c41]Piotr Mirowski, Ravishankar Palaniappan, Tin Kam Ho:
Depth camera SLAM on a low-cost WiFi mapping robot. TePRA 2012: 1-6 - 2011
- [c40]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 - [c39]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: 1-10 - [c38]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 - 2010
- [j20]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): 61-72 (2010) - [c37]Núria Macià, Tin Kam Ho, Albert Orriols-Puig, Ester Bernadó-Mansilla:
The Landscape Contest at ICPR 2010. ICPR Contests 2010: 29-45 - [p1]Thomas Bengtsson, Todd Salamon, Tin Kam Ho, Christopher A. White:
Model-Based Anomaly Detection for a Transparent Optical Transmission System. Algorithms for Next Generation Networks 2010: 263-286
2000 – 2009
- 2009
- [j19]Tin Kam Ho, Thomas Bengtsson:
Opportunities for automated inference with data in tomorrow's communication networks and services. Bell Labs Tech. J. 14(3): 193-206 (2009) - [j18]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) - 2008
- [j17]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): 31-47 (2008) - [c36]Chandan K. Reddy, Snehal Pokharkar, Tin Kam Ho:
Generating hypotheses of trends in high-dimensional data skeletons. IEEE VAST 2008: 139-146 - [c35]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 - [c34]Tin Kam Ho:
Data Complexity Analysis: Linkage between Context and Solution in Classification. SSPR/SPR 2008: 1 - [c33]Tin Kam Ho:
Data Complexity Analysis: Linkage between Context and Solution in Classification. SSPR/SPR 2008: 986-995 - 2007
- [j16]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): 72-84 (2007) - 2006
- [j15]Robert P. W. Duin, Marco Loog, Tin Kam Ho:
Recent submissions in linear dimensionality reduction and face recognition. Pattern Recognit. Lett. 27(7): 707-708 (2006) - [c32]Shivani Deshpande, Marina Thottan, Tin Kam Ho, Biplab Sikdar:
A Statistical Approach to Anomaly Detection in Interdomain Routing. BROADNETS 2006 - [c31]Michael Flaster, Bruce Hillyer, Tin Kam Ho:
Exploratory Analysis System for Semi-structured Engineering Logs. Document Analysis Systems 2006: 291-301 - [c30]Iryna Skrypnyk, Tin Kam Ho:
Hyper-Rectangular and k-Nearest-Neighbor Models in Stochastic Discrimination. DMIN 2006: 57-63 - [c29]Erinija Pranckeviciene, Tin Kam Ho, Ray L. Somorjai:
Class Separability in Spaces Reduced By Feature Selection. ICPR (3) 2006: 254-257 - [c28]Tin Kam Ho:
Symmetries from Uniform Space Covering in Stochastic Discrimination. SSPR/SPR 2006: 22-40 - 2005
- [j14]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): 119-137 (2005) - [j13]Tin Kam Ho:
Article retraction: Least-squares fitting for deformable superquadric model based on orthogonal distance. Pattern Recognit. Lett. 26(6): 685-686 (2005) - [j12]Tin Kam Ho:
Editorial. Pattern Recognit. Lett. 26(13): 1947- (2005) - [j11]Ester Bernadó-Mansilla, Tin Kam Ho:
Domain of competence of XCS classifier system in complexity measurement space. IEEE Trans. Evol. Comput. 9(1): 82-104 (2005) - 2004
- [c27]Ester Bernadó i Mansilla, Tin Kam Ho:
On Classifier Domains of Competence. ICPR (1) 2004: 136-139 - [c26]Tin Kam Ho:
Interactive Tools for Pattern Discovery. ICPR (2) 2004: 509-512 - [i2]Tin Kam Ho:
Geometrical Complexity of Classification Problems. CoRR cs.CV/0402020 (2004) - [i1]Tin Kam Ho:
A Numerical Example on the Principles of Stochastic Discrimination. CoRR cs.CV/0402021 (2004) - 2003
- [j10]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): 95-111 (2003) - 2002
- [j9]Tin Kam Ho:
A Data Complexity Analysis of Comparative Advantages of Decision Forest Constructors. Pattern Anal. Appl. 5(2): 102-112 (2002) - [j8]Tin Kam Ho, Mitra Basu:
Complexity Measures of Supervised Classification Problems. IEEE Trans. Pattern Anal. Mach. Intell. 24(3): 289-300 (2002) - [c25]Tin Kam Ho:
Exploratory Analysis of Point Proximity in Subspaces. ICPR (2) 2002: 196-199 - [c24]Anil K. Jain, Xiaowei Xu, Tin Kam Ho, Fan Xiao:
Uniformity Testing Using Minimal Spanning Tree. ICPR (4) 2002: 281-284 - 2001
- [c23]Tin Kam Ho, George Nagy:
Exploration of Contextual Constraints for Character Pre-Classification. ICDAR 2001: 450-454 - [c22]Tin Kam Ho:
Data Complexity Analysis for Classifier Combination. Multiple Classifier Systems 2001: 53-67 - 2000
- [j7]Tin Kam Ho:
Stop word location and identification for adaptive text recognition. Int. J. Document Anal. Recognit. 3(1): 16-26 (2000) - [c21]Hao Chen, Tin Kam Ho:
Evaluation of decision forests on text categorization. Document Recognition and Retrieval 2000: 191-201 - [c20]Tin Kam Ho, Mitra Basu:
Measuring the Complexity of Classification Problems. ICPR 2000: 2043-2047 - [c19]Tin Kam Ho, George Nagy:
OCR with No Shape Training. ICPR 2000: 4027-4030 - [c18]Tin Kam Ho:
Complexity of Classification Problems and Comparative Advantages of Combined Classifiers. Multiple Classifier Systems 2000: 97-106
1990 – 1999
- 1999
- [c17]Tin Kam Ho:
Fast Identification of Stop Words for Font Learning and Keyword Spotting. ICDAR 1999: 333-336 - [c16]Mitra Basu, Tin Kam Ho:
The learning behavior of single neuron classifiers on linearly separable or nonseparable input. IJCNN 1999: 1259-1264 - 1998
- [j6]Tin Kam Ho, Henry S. Baird:
Pattern Classification with Compact Distribution Maps. Comput. Vis. Image Underst. 70(1): 101-110 (1998) - [j5]Tin Kam Ho:
The Random Subspace Method for Constructing Decision Forests. IEEE Trans. Pattern Anal. Mach. Intell. 20(8): 832-844 (1998) - [c15]Tin Kam Ho:
C4.5 decision forests. ICPR 1998: 545-549 - [c14]Tin Kam Ho:
Bootstrapping text recognition from stop words. ICPR 1998: 605-609 - [c13]Tin Kam Ho:
Nearest Neighbors in Random Subspaces. SSPR/SPR 1998: 640-648 - 1997
- [j4]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) - [c12]John D. Hobby, Tin Kam Ho:
Enhancing Degraded Document Images via Bitmap Clustering and Averaging. ICDAR 1997: 394-400 - 1996
- [c11]Tin Kam Ho:
Adaptive Coordination of Multiple Classifiers. DAS 1996: 371-384 - [c10]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: 521-523 - [c9]Tin Kam Ho, Eugene M. Kleinberg:
Building projectable classifiers of arbitrary complexity. ICPR 1996: 880-885 - 1995
- [c8]Tin Kam Ho:
Selection of image features for distribution-map classifiers. Document Recognition 1995: 105-114 - [c7]Tin Kam Ho:
Random decision forests. ICDAR 1995: 278-282 - 1994
- [j3]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) - [c6]Tin Kam Ho, Henry S. Baird:
Estimating the intrinsic difficulty of a recognition problem. ICPR (2) 1994: 178-183 - 1993
- [c5]Tin Kam Ho, Henry S. Baird:
Perfect metrics. ICDAR 1993: 593-597 - [c4]Tin Kam Ho:
Recognition of handwritten digits by combining independent learning vector quantizations. ICDAR 1993: 818-821 - 1992
- [j2]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) - [j1]Tin Kam Ho, Jonathan J. Hull, Sargur N. Srihari:
A word shape analysis approach to lexicon based word recognition. Pattern Recognit. Lett. 13(11): 821-826 (1992) - [c3]Tin Kam Ho, Jonathan J. Hull, Sargur N. Srihari:
On multiple classifier systems for pattern recognition. ICPR (2) 1992: 84-87 - [c2]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: 586-589 - [c1]Jonathan J. Hull, Siamak Khoubyari, Tin Kam Ho:
World image matching as a technique for degraded text recognition. ICPR (2) 1992: 665-668
Coauthor Index
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