Tin Kam Ho

	2008
37		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
36		Tin Kam Ho: Data Complexity Analysis: Linkage between Context and Solution in Classification. SSPR/SPR 2008: 1
35		Tin Kam Ho: Data Complexity Analysis: Linkage between Context and Solution in Classification. SSPR/SPR 2008: 986-995
34		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)
	2007
33		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)
	2006
32		Iryna Skrypnyk, Tin Kam Ho: Hyper-Rectangular and k-Nearest-Neighbor Models in Stochastic Discrimination. DMIN 2006: 57-63
31		Michael Flaster, Bruce Hillyer, Tin Kam Ho: Exploratory Analysis System for Semi-structured Engineering Logs. Document Analysis Systems 2006: 291-301
30		Tin Kam Ho: Symmetries from Uniform Space Covering in Stochastic Discrimination. SSPR/SPR 2006: 22-40
29		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)
	2005
28		Tin Kam Ho, Todd Salamon, Roland W. Freund, Christopher A. White, Bruce Hillyer, Lawrence C. Cowsar, Carl Nuzman, Daniel C. Kilper: Simulation of power evolution and control dynamics in optical transport systems. Bell Labs Technical Journal 10(1): 119-137 (2005)
27		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)
26		Tin Kam Ho: Editorial. Pattern Recognition Letters 26(13): 1947- (2005)
25		Tin Kam Ho: Article retraction: Least-squares fitting for deformable superquadric model based on orthogonal distance. Pattern Recognition Letters 26(6): 685-686 (2005)
	2004
24		Ester Bernadó i Mansilla, Tin Kam Ho: On Classifier Domains of Competence. ICPR (1) 2004: 136-139
23		Tin Kam Ho: Interactive Tools for Pattern Discovery. ICPR (2) 2004: 509-512
22		Tin Kam Ho: Geometrical Complexity of Classification Problems CoRR cs.CV/0402020: (2004)
21		Tin Kam Ho: A Numerical Example on the Principles of Stochastic Discrimination CoRR cs.CV/0402021: (2004)
	2003
20		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)
	2002
19		Tin Kam Ho: Exploratory Analysis of Point Proximity in Subspaces. ICPR (2) 2002: 196-199
18		Anil K. Jain, Xiaowei Xu, Tin Kam Ho, Fan Xiao: Uniformity Testing Using Minimal Spanning Tree. ICPR (4) 2002: 281-284
17		Tin Kam Ho, Mitra Basu: Complexity Measures of Supervised Classification Problems. IEEE Trans. Pattern Anal. Mach. Intell. 24(3): 289-300 (2002)
16		Tin Kam Ho: A Data Complexity Analysis of Comparative Advantages of Decision Forest Constructors. Pattern Anal. Appl. 5(2): 102-112 (2002)
	2001
15		Tin Kam Ho, George Nagy: Exploration of Contextual Constraints for Character Pre-Classification. ICDAR 2001: 450-454
14		Tin Kam Ho: Data Complexity Analysis for Classifier Combination. Multiple Classifier Systems 2001: 53-67
	2000
13		Tin Kam Ho, Mitra Basu: Measuring the Complexity of Classification Problems. ICPR 2000: 2043-2047
12		Tin Kam Ho, George Nagy: OCR with No Shape Training. ICPR 2000: 4027-4030
11		Tin Kam Ho: Complexity of Classification Problems and Comparative Advantages of Combined Classifiers. Multiple Classifier Systems 2000: 97-106
10		Tin Kam Ho: Stop word location and identification for adaptive text recognition. IJDAR 3(1): 16-26 (2000)
	1999
9		Tin Kam Ho: Fast Identification of Stop Words for Font Learning and Keyword Spotting. ICDAR 1999: 333-336
	1998
8		Tin Kam Ho: Nearest Neighbors in Random Subspaces. SSPR/SPR 1998: 640-648
7		Tin Kam Ho, Henry S. Baird: Pattern Classification with Compact Distribution Maps. Computer Vision and Image Understanding 70(1): 101-110 (1998)
6		Tin Kam Ho: The Random Subspace Method for Constructing Decision Forests. IEEE Trans. Pattern Anal. Mach. Intell. 20(8): 832-844 (1998)
	1997
5		John D. Hobby, Tin Kam Ho: Enhancing Degraded Document Images via Bitmap Clustering and Averaging. ICDAR 1997: 394-400
4		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)
	1995
3		Tin Kam Ho: Random decision forests. ICDAR 1995: 278-
	1994
2		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)
	1992
1		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)

Coauthor Index

1	Henry S. Baird	[4] [7]
2	Mitra Basu	[13] [17]
3	Ester Bernadó-Mansilla (Ester Bernadó i Mansilla)	[24] [27]
4	Nilton Bila	[34] [37]
5	Michael Cantone	[20]
6	Jin Cao	[34] [37]
7	Lawrence C. Cowsar	[28]
8	Robert Dinoff	[33] [34] [37]
9	Robert P. W. Duin	[29]
10	Michael Flaster	[31]
11	Roland W. Freund	[28]
12	Bruce Hillyer	[28] [31]
13	John D. Hobby	[5]
14	Jonathan J. Hull	[1] [2]
15	Richard Hull	[33] [37]
16	Anil K. Jain	[18]
17	Daniel C. Kilper	[28]
18	Bharat Kumar	[33] [34] [37]
19	Daniel F. Lieuwen	[33] [34]
20	Marco Loog	[29]
21	George Nagy	[12] [15]
22	Carl Nuzman	[28]
23	Sanjoy Paul	[20]
24	Haobo Ren	[33]
25	Jennifer Ren (Yansong (Jennifer) Ren)	[20]
26	Todd Salamon	[28]
27	Paulo Santos	[33] [34] [37]
28	Iryna Skrypnyk	[32]
29	Sargur N. Srihari	[1] [2]
30	George K. Swanson	[20]
31	Marina Thottan	[20]
32	Christopher A. White	[28]
33	Fan Xiao	[18]
34	Xiaowei Xu	[18]

Colors in the list of coauthors