2008 |
37 | EE | 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 | EE | Tin Kam Ho:
Data Complexity Analysis: Linkage between Context and Solution in Classification.
SSPR/SPR 2008: 1 |
35 | EE | Tin Kam Ho:
Data Complexity Analysis: Linkage between Context and Solution in Classification.
SSPR/SPR 2008: 986-995 |
34 | EE | 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 | EE | 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 | EE | Michael Flaster,
Bruce Hillyer,
Tin Kam Ho:
Exploratory Analysis System for Semi-structured Engineering Logs.
Document Analysis Systems 2006: 291-301 |
30 | EE | Tin Kam Ho:
Symmetries from Uniform Space Covering in Stochastic Discrimination.
SSPR/SPR 2006: 22-40 |
29 | EE | 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 | EE | 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 | EE | 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 | EE | Tin Kam Ho:
Editorial.
Pattern Recognition Letters 26(13): 1947- (2005) |
25 | EE | 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 | EE | Ester Bernadó i Mansilla,
Tin Kam Ho:
On Classifier Domains of Competence.
ICPR (1) 2004: 136-139 |
23 | EE | Tin Kam Ho:
Interactive Tools for Pattern Discovery.
ICPR (2) 2004: 509-512 |
22 | EE | Tin Kam Ho:
Geometrical Complexity of Classification Problems
CoRR cs.CV/0402020: (2004) |
21 | EE | Tin Kam Ho:
A Numerical Example on the Principles of Stochastic Discrimination
CoRR cs.CV/0402021: (2004) |
2003 |
20 | EE | 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 | EE | Tin Kam Ho:
Exploratory Analysis of Point Proximity in Subspaces.
ICPR (2) 2002: 196-199 |
18 | EE | Anil K. Jain,
Xiaowei Xu,
Tin Kam Ho,
Fan Xiao:
Uniformity Testing Using Minimal Spanning Tree.
ICPR (4) 2002: 281-284 |
17 | EE | Tin Kam Ho,
Mitra Basu:
Complexity Measures of Supervised Classification Problems.
IEEE Trans. Pattern Anal. Mach. Intell. 24(3): 289-300 (2002) |
16 | EE | Tin Kam Ho:
A Data Complexity Analysis of Comparative Advantages of Decision Forest Constructors.
Pattern Anal. Appl. 5(2): 102-112 (2002) |
2001 |
15 | EE | Tin Kam Ho,
George Nagy:
Exploration of Contextual Constraints for Character Pre-Classification.
ICDAR 2001: 450-454 |
14 | EE | Tin Kam Ho:
Data Complexity Analysis for Classifier Combination.
Multiple Classifier Systems 2001: 53-67 |
2000 |
13 | EE | Tin Kam Ho,
Mitra Basu:
Measuring the Complexity of Classification Problems.
ICPR 2000: 2043-2047 |
12 | EE | Tin Kam Ho,
George Nagy:
OCR with No Shape Training.
ICPR 2000: 4027-4030 |
11 | EE | Tin Kam Ho:
Complexity of Classification Problems and Comparative Advantages of Combined Classifiers.
Multiple Classifier Systems 2000: 97-106 |
10 | EE | Tin Kam Ho:
Stop word location and identification for adaptive text recognition.
IJDAR 3(1): 16-26 (2000) |
1999 |
9 | EE | 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 | EE | Tin Kam Ho,
Henry S. Baird:
Pattern Classification with Compact Distribution Maps.
Computer Vision and Image Understanding 70(1): 101-110 (1998) |
6 | EE | Tin Kam Ho:
The Random Subspace Method for Constructing Decision Forests.
IEEE Trans. Pattern Anal. Mach. Intell. 20(8): 832-844 (1998) |
1997 |
5 | EE | 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 | EE | Tin Kam Ho:
Random decision forests.
ICDAR 1995: 278- |
1994 |
2 | EE | 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 | EE | 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) |