2008 |
95 | EE | Marjory C. C. Abreu,
Michael C. Fairhurst:
An Empirical Comparison of Individual Machine Learning Techniques in Signature and Fingerprint Classification.
BIOID 2008: 130-139 |
94 | EE | Carlos Orrite,
Mario Rodríguez,
Francisco Martínez,
Michael C. Fairhurst:
Classifier Ensemble Generation for the Majority Vote Rule.
CIARP 2008: 340-347 |
93 | EE | Weiguo Sheng,
Gareth Howells,
Karl Harmer,
Michael C. Fairhurst,
Farzin Deravi:
A genetic algorithm for fingerprint matching based on an integrated measure.
IEEE Congress on Evolutionary Computation 2008: 928-932 |
92 | EE | Konstantinos Sirlantzis,
Sanaul Hoque,
Michael C. Fairhurst:
Diversity in multiple classifier ensembles based on binary feature quantisation with application to face recognition.
Appl. Soft Comput. 8(1): 437-445 (2008) |
91 | EE | Weiguo Sheng,
Xiaohui Liu,
Michael C. Fairhurst:
A Niching Memetic Algorithm for Simultaneous Clustering and Feature Selection.
IEEE Trans. Knowl. Data Eng. 20(7): 868-879 (2008) |
90 | EE | Weiguo Sheng,
Gareth Howells,
Michael C. Fairhurst,
Farzin Deravi:
Template-Free Biometric-Key Generation by Means of Fuzzy Genetic Clustering.
IEEE Transactions on Information Forensics and Security 3(2): 183-191 (2008) |
89 | EE | Yan Wang,
Li Bai,
Michael C. Fairhurst:
Robust Road Modeling and Tracking Using Condensation.
IEEE Transactions on Intelligent Transportation Systems 9(4): 570-579 (2008) |
88 | EE | Cedric Rabasse,
Richard M. Guest,
Michael C. Fairhurst:
A New Method for the Synthesis of Signature Data With Natural Variability.
IEEE Transactions on Systems, Man, and Cybernetics, Part B 38(3): 691-699 (2008) |
87 | EE | Stephanie Glenat,
Laurent Heutte,
Thierry Paquet,
Richard M. Guest,
Michael C. Fairhurst,
Tristan Linnell:
The Development of a Computer-Assisted Tool for the Assessment of Neuropsychological Drawing Tasks.
International Journal of Information Technology and Decision Making 7(4): 751-767 (2008) |
86 | EE | Li Bai,
Yan Wang,
Michael C. Fairhurst:
An extended hyperbola model for road tracking for video-based personal navigation.
Knowl.-Based Syst. 21(3): 265-272 (2008) |
2007 |
85 | EE | Weiguo Sheng,
Gareth Howells,
Karl Harmer,
Michael C. Fairhurst,
Farzin Deravi:
Fingerprint Matching with an Evolutionary Approach.
ICB 2007: 484-492 |
84 | EE | Cedric Rabasse,
Richard M. Guest,
Michael C. Fairhurst:
A Method for the Synthesis of Dynamic Biometric Signature Data.
ICDAR 2007: 168-172 |
83 | EE | A. Egozi,
I. Dinstein,
J. Chapran,
Michael C. Fairhurst:
An EM Based Algorithm for Skew Detection.
ICDAR 2007: 277-281 |
82 | EE | Fernando Alonso-Fernandez,
Michael C. Fairhurst,
Julian Fiérrez-Aguilar,
Javier Ortega-Garcia:
Automatic Measures for Predicting Performance in Off-Line Signature.
ICIP (1) 2007: 369-372 |
81 | | Karl Harmer,
Gareth Howells,
Weiguo Sheng,
Michael C. Fairhurst,
Farzin Deravi:
A Computationally Efficient Fingerprint Segmentation Algorithm Using Digital Closed Curves.
IPCV 2007: 17-22 |
80 | | Karl Harmer,
Gareth Howells,
Weiguo Sheng,
Michael C. Fairhurst,
Farzin Deravi:
A Novel Level-Independent Fingerprint Segmentation Algorithm based on Fourier Energy.
IPCV 2007: 3-9 |
79 | EE | Samuel Chindaro,
Konstantinos Sirlantzis,
Michael C. Fairhurst:
Modelling Multiple-Classifier Relationships Using Bayesian Belief Networks.
MCS 2007: 312-321 |
78 | EE | Weiguo Sheng,
Gareth Howells,
Michael C. Fairhurst,
Farzin Deravi:
A Memetic Fingerprint Matching Algorithm.
IEEE Transactions on Information Forensics and Security 2(3-1): 402-412 (2007) |
77 | EE | LinLin Shen,
Li Bai,
Michael C. Fairhurst:
Gabor wavelets and General Discriminant Analysis for face identification and verification.
Image Vision Comput. 25(5): 553-563 (2007) |
76 | EE | Y. Liang,
Richard M. Guest,
Michael C. Fairhurst,
Jonathan M. Potter:
Feature-based assessment of visuo-spatial neglect patients using hand-drawing tasks.
Pattern Anal. Appl. 10(4): 361-374 (2007) |
2005 |
75 | EE | Samuel Chindaro,
Konstantinos Sirlantzis,
Michael C. Fairhurst:
Analysis and Modelling of Diversity Contribution to Ensemble-Based Texture Recognition Performance.
Multiple Classifier Systems 2005: 387-396 |
2004 |
74 | EE | Mohamed A. Razian,
Michael C. Fairhurst,
Sanaul Hoque:
Effect of Dynamic Features on Diagnostic Testing for Dyspraxia.
ICCHP 2004: 1039-1046 |
73 | EE | Samuel Chindaro,
Richard M. Guest,
Michael C. Fairhurst,
Mohamed A. Razian,
Jonathan M. Potter:
Feature Selection Optimisation in an Automated Diagnostic Cancellation Task.
ICCHP 2004: 1047-1053 |
72 | EE | Michael C. Fairhurst,
Sanaul Hoque,
Mohamed A. Razian:
Towards Universal Access Through Automated Assessment of Defined Clinical Populations.
User Interfaces for All 2004: 42-49 |
71 | EE | Samuel Chindaro,
Richard M. Guest,
Michael C. Fairhurst,
Jonathan M. Potter:
Assessing Visuo-Spatial Neglect Through Feature Selection From Shape Drawing Performance And Sequence Analysis.
IJPRAI 18(7): 1253-1266 (2004) |
2003 |
70 | EE | Michael C. Fairhurst:
Document Identity, Authentication and Ownership: The Future of Biometric Verification.
ICDAR 2003: 1108- |
69 | EE | Sanaul Hoque,
H. Selim,
Gareth Howells,
Michael C. Fairhurst,
Farzin Deravi:
SAGENT: A Novel Technique for Document Modeling for Secure Access and Distribution.
ICDAR 2003: 1257-1261 |
68 | EE | Sanaul Hoque,
Konstantinos Sirlantzis,
Michael C. Fairhurst:
A New Chain-code Quantization Approach Enabling High Performance Handwriting Recognition based on Multi-Classifier Schemes.
ICDAR 2003: 834-838 |
67 | EE | Richard M. Guest,
Samuel Chindaro,
Michael C. Fairhurst,
Jonathan M. Potter:
Automatic Classification of Hand Drawn Geometric Shapes using Constructional Sequence Analysis.
ICDAR 2003: 990-994 |
66 | EE | Michael C. Fairhurst,
Farzin Deravi,
Nick Mavity,
J. George,
Konstantinos Sirlantzis:
Intelligent Management of Multimodal Biometric Transactions.
KES 2003: 1254-1260 |
65 | EE | Michael C. Fairhurst,
Elina Kaplani:
A Study of the User Interface in Biometric Verification Based on the Characteristics of Human Signature Checking.
KES 2003: 1270-1276 |
64 | EE | Konstantinos Sirlantzis,
Sanaul Hoque,
Michael C. Fairhurst:
Input Space Transformations for Multi-classifier Systems Based on n-tuple Classifiers with Application to Handwriting Recognition.
Multiple Classifier Systems 2003: 356-365 |
63 | EE | Michael C. Fairhurst,
Ahmad Fuad Rezaur Rahman:
Special issue on multiple classifiers for document analysis applications.
IJDAR 5(4): 165 (2003) |
62 | EE | Ahmad Fuad Rezaur Rahman,
Michael C. Fairhurst:
Multiple classifier decision combination strategies for character recognition: A review.
IJDAR 5(4): 166-194 (2003) |
61 | EE | Anne M. P. Canuto,
Michael C. Fairhurst,
Gareth Howells:
Fuzzy Connectives as a Combination Tool in a Hybrid Multi-Neural System.
Int. J. Neural Syst. 13(2): 67-76 (2003) |
60 | EE | Farzin Deravi,
Michael C. Fairhurst,
Richard M. Guest,
Nick Mavity,
Anne M. P. Canuto:
Intelligent agents for the management of complexity in multimodal biometrics.
Universal Access in the Information Society 2(4): 293-304 (2003) |
2002 |
59 | EE | Richard M. Guest,
Michael C. Fairhurst:
A novel multi-stage approach to the detection of visuo-spatial neglect based on the analysis of figure-copying tasks.
ASSETS 2002: 157-161 |
58 | EE | Ahmad Fuad Rezaur Rahman,
Hassan Alam,
Michael C. Fairhurst:
Multiple Classifier Combination for Character Recognition: Revisiting the Majority Voting System and Its Variations.
Document Analysis Systems 2002: 167-178 |
57 | EE | Konstantinos Sirlantzis,
Michael C. Fairhurst,
Richard M. Guest:
An Evolutionary Algorithm for Classifier and Combination Rule Selection in Multiple Classifier Systems.
ICPR (2) 2002: 771-774 |
56 | EE | Sanaul Hoque,
Michael C. Fairhurst,
Richard M. Guest:
The Effect of the Inhibition-Compensation Learning Scheme on n-tuple Based Classifier Performance.
ICPR (3) 2002: 452-455 |
55 | EE | Richard M. Guest,
Michael C. Fairhurst:
A Clustering Approach to Corner Point Analysis in Hand Drawn Images.
ICPR (3) 2002: 940-943 |
54 | EE | Konstantinos Sirlantzis,
Sanaul Hoque,
Michael C. Fairhurst:
Trainable Multiple Classifier Schemes for Handwritten Character Recognition.
Multiple Classifier Systems 2002: 169-178 |
53 | EE | Anne M. P. Canuto,
Michael C. Fairhurst,
Gareth Howells:
An Investigation of Fuzzy Combiners applied to a Hybrid Multi-neural System.
SBRN 2002: 156-161 |
52 | EE | Konstantinos Sirlantzis,
Sanaul Hoque,
Michael C. Fairhurst,
Ahmad Fuad Rezaur Rahman:
Fusion of n-Tuple Based Classifiers for High Performance Handwritten Character Recognition.
SSPR/SPR 2002: 770-778 |
51 | EE | Michael C. Fairhurst,
Richard M. Guest,
Farzin Deravi,
J. George:
Using Biometrics as an Enabling Technology in Balancing Universality and Selectivity for Management of Information Access.
User Interfaces for All 2002: 249-262 |
50 | EE | Richard M. Guest,
Michael C. Fairhurst,
Jonathan M. Potter:
Diagnosis of Visuo-Spatial Neglect Using Dynamic Sequence Features from a Cancellation Task.
Pattern Anal. Appl. 5(3): 261-270 (2002) |
49 | EE | Ahmad Fuad Rezaur Rahman,
R. Rahman,
Michael C. Fairhurst:
Recognition of handwritten Bengali characters: a novel multistage approach.
Pattern Recognition 35(5): 997-1006 (2002) |
2001 |
48 | | Michael C. Fairhurst,
Elina Kaplani,
Richard M. Guest:
Complexity measures in handwritten signature verification.
HCI 2001: 305-309 |
47 | | Richard M. Guest,
Michael C. Fairhurst,
Jonathan M. Potter:
Kinematic profiling in object location and line drawing tasks by visuo-spatial neglect subjects.
HCI 2001: 919-923 |
46 | EE | Konstantinos Sirlantzis,
Michael C. Fairhurst:
Investigation of a Novel Self-configurable Multiple Classifier System for Character Recognition.
ICDAR 2001: 1002-1006 |
45 | EE | Sanaul Hoque,
Michael C. Fairhurst:
An Improved Learning Scheme for the Moving Window Classifier.
ICDAR 2001: 607-611 |
44 | EE | Gareth Howells,
H. Selim,
Sanaul Hoque,
Michael C. Fairhurst,
Farzin Deravi:
The Autonomous Document Object (ADO) Model.
ICDAR 2001: 977-981 |
43 | EE | Konstantinos Sirlantzis,
Michael C. Fairhurst:
Optimisation of multiple classifier systems using genetic algorithms.
ICIP (1) 2001: 1094-1097 |
42 | EE | Konstantinos Sirlantzis,
Michael C. Fairhurst,
Sanaul Hoque:
Genetic Algorithms for Multi-classifier System Configuration: A Case Study in Character Recognition.
Multiple Classifier Systems 2001: 99-108 |
41 | EE | Anne M. P. Canuto,
Michael C. Fairhurst,
Gareth Howells:
Improving Artmap Learning Through Variable Vigilance.
Int. J. Neural Syst. 11(6): 509-522 (2001) |
40 | EE | A. S. Constantinidis,
Michael C. Fairhurst,
Ahmad Fuad Rezaur Rahman:
A new multi-expert decision combination algorithm and its application to the detection of circumscribed masses in digital mammograms.
Pattern Recognition 34(8): 1527-1537 (2001) |
2000 |
39 | EE | M. S. Hoque,
Michael C. Fairhurst:
Face Recognition using the Moving Window Classifier.
BMVC 2000 |
38 | EE | W. G. K. Cobbah,
Michael C. Fairhurst:
Computer Analysis of Handwriting Dynamics during Dopamimetic Tests in Parkinson's Disease.
EUROMICRO 2000: 2414-2418 |
37 | EE | Richard M. Guest,
Michael C. Fairhurst,
Jonathan M. Potter:
Automated Extraction of Image Segments from Clinically Diagnostic Hand-Drawn Geometric Shapes.
EUROMICRO 2000: 2440- |
36 | EE | Richard M. Guest,
Michael C. Fairhurst,
Jonathan M. Potter,
N. Donnelly:
Analyzing Constructional Aspects of Figure Completion for the Diagnosis of Visuospatial Neglect.
ICPR 2000: 4316-4319 |
35 | EE | Ahmad Fuad Rezaur Rahman,
Michael C. Fairhurst:
Comparison of Some Multiple Expert Strategies: An Investigation of Resource Prerequisites and Achievable Performance.
ICPR 2000: 4841-4844 |
34 | EE | Gareth Howells,
Michael C. Fairhurst,
Fuad Rahman:
An exploration of a new paradigm for weightless RAM-based neural networks.
Connect. Sci. 12(1): 65-90 (2000) |
33 | EE | Anne M. P. Canuto,
Gareth Howells,
Michael C. Fairhurst:
The use of confidence measures to enhance combination strategies in multi-network neuro-fuzzy systems.
Connect. Sci. 12(3-4): 315-331 (2000) |
32 | EE | Ahmad Fuad Rezaur Rahman,
Michael C. Fairhurst:
Multiple expert classification: a new methodology for parallel decision fusion.
IJDAR 3(1): 40-55 (2000) |
31 | EE | Anne M. P. Canuto,
Gareth Howells,
Michael C. Fairhurst:
An Investigation of the Effects of Variable Vigilance within the RePART Neuro-Fuzzy Network.
Journal of Intelligent and Robotic Systems 29(4): 317-334 (2000) |
1999 |
30 | | Anne M. P. Canuto,
Gareth Howells,
Michael C. Fairhurst:
RePART: A Modified Fuzzy ARTMAP for Pattern Recognition.
Fuzzy Days 1999: 159-168 |
29 | EE | Ahmad Fuad Rezaur Rahman,
Michael C. Fairhurst:
Measuring Classification Complexity of Image Databases: A Novel Approach.
ICIAP 1999: 893-897 |
28 | EE | Ahmad Fuad Rezaur Rahman,
Michael C. Fairhurst:
Serial Combination of Multiple Experts: A Unified Evaluation.
Pattern Anal. Appl. 2(4): 292-311 (1999) |
1998 |
27 | EE | Ahmad Fuad Rezaur Rahman,
Michael C. Fairhurst:
A Novel Confidence-Based Framework for Multiple Expert Decision Fusion.
BMVC 1998 |
26 | EE | Ahmad Fuad Rezaur Rahman,
Michael C. Fairhurst:
Machine-printed character recognition revisited: re-application of recent advances in handwritten character recognition research.
Image Vision Comput. 16(12-13): 819-842 (1998) |
25 | EE | Ahmad Fuad Rezaur Rahman,
Michael C. Fairhurst:
An Evaluation Of Multi-Expert Configurations For The Recognition Of Handwritten Numerals.
Pattern Recognition 31(9): 1255-1273 (1998) |
24 | EE | André Carlos Ponce Leon Ferreira de Carvalho,
Michael C. Fairhurst:
Applying Adaptive Logic Networks to character recognition.
Pattern Recognition Letters 19(5-6): 469-473 (1998) |
23 | EE | Ahmad Fuad Rezaur Rahman,
Michael C. Fairhurst,
P. Lee:
Design considerations in the real-time implementation of multiple expert image classifiers within a modular and flexible multiple-platform design environment.
Real-Time Imaging 4(5): 361-376 (1998) |
1997 |
22 | EE | Ahmad Fuad Rezaur Rahman,
Michael C. Fairhurst:
Introducing New Multiple Expert Decision Combination Topologies: A Case Study using Recognition of Handwritten Characters.
ICDAR 1997: 886- |
21 | | Ahmad Fuad Rezaur Rahman,
Michael C. Fairhurst:
A Novel Pair-Wise Recognition Scheme for Handwritten Characters in the Framework of a Multi-expert Configuration.
ICIAP (2) 1997: 624-631 |
20 | EE | André Carlos Ponce Leon Ferreira de Carvalho,
Michael C. Fairhurst,
David L. Bisset:
Combining Boolean Neural Architectures for Image Recognition.
Connect. Sci. 9(4): 405-418 (1997) |
19 | EE | Ahmad Fuad Rezaur Rahman,
Michael C. Fairhurst:
Selective partition algorithm for finding regions of maximum pairwise dissimilarity among statistical class models.
Pattern Recognition Letters 18(7): 605-611 (1997) |
18 | EE | Ahmad Fuad Rezaur Rahman,
Michael C. Fairhurst:
A new hybrid approach in combining multiple experts to recognise handwritten numerals.
Pattern Recognition Letters 18(8): 781-790 (1997) |
1995 |
17 | EE | Y. J. Bae,
Michael C. Fairhurst:
Parallelism in dynamic time warping for automatic signature verification.
ICDAR 1995: 426-429 |
16 | | Germano C. Vasconcelos,
Michael C. Fairhurst,
David L. Bisset:
Efficient Detection of Spurious Inputs for Improving the Robustness of MLP Networks in Practical Applications.
Neural Computing and Applications 3(4): 202-212 (1995) |
15 | EE | Germano C. Vasconcelos,
Michael C. Fairhurst,
David L. Bisset:
Investigating feedforward neural networks with respect to the rejection of spurious patterns.
Pattern Recognition Letters 16(2): 207-212 (1995) |
14 | EE | Gareth Howells,
Michael C. Fairhurst,
David L. Bisset:
BCN: A novel network architecture for RAM-based neurons.
Pattern Recognition Letters 16(3): 297-303 (1995) |
1994 |
13 | | Michael C. Fairhurst,
N. Higson,
C. Clar,
Russell J. Bradford,
W. Clark,
E. Pringle:
Automatic Image Processing in Developmental Testing of Visual-Motor Integration.
ICCHP 1994: 329-335 |
12 | | Michael C. Fairhurst,
Paul Brittan:
An Evaluation of Parallel Strategies for Feature Vector Construction in Automatic Signature Verification Systems.
IJPRAI 8(3): 661-678 (1994) |
11 | EE | André Carlos Ponce Leon Ferreira de Carvalho,
Michael C. Fairhurst,
David L. Bisset:
An integrated Boolean neural network for pattern classification.
Pattern Recognition Letters 15(8): 807-813 (1994) |
1993 |
10 | EE | Michael C. Fairhurst,
K. D. Cowley:
Parallel multi-layer classifier architectures of increasing hierarchical order.
Pattern Recognition Letters 14(2): 141-145 (1993) |
1991 |
9 | EE | Michael C. Fairhurst,
H. M. S. Abdel Wahab,
Paul Brittan:
Matching structural and implementational models in the specification of image classifiers.
Pattern Recognition 24(6): 555-566 (1991) |
8 | EE | Edson Costa de Barros Carvalho Filho,
Michael C. Fairhurst,
David L. Bisset:
Adaptive pattern recognition using goal seeking neurons.
Pattern Recognition Letters 12(3): 131-138 (1991) |
1990 |
7 | EE | Michael C. Fairhurst,
H. M. S. Abdel Wahab:
An interactive two-level architecture for a memory network pattern classifier.
Pattern Recognition Letters 11(8): 537-540 (1990) |
1989 |
6 | EE | H. M. S. Abdel Wahab,
Michael C. Fairhurst:
An analysis of discriminatory mechanisms in frequency-weighted memory array pattern classifiers.
Pattern Recognition 22(4): 411-421 (1989) |
5 | EE | H. M. S. Abdel Wahab,
Michael C. Fairhurst:
Stabilisation of error-rate performance in frequency-weighted memory network pattern classifiers.
Pattern Recognition Letters 10(3): 159-166 (1989) |
1988 |
4 | | M. H. A. Assal,
E. Horne,
Michael C. Fairhurst:
An Enhanced Linear Model Edge Detector.
Pattern Recognition 1988: 68-79 |
1987 |
3 | | Michael C. Fairhurst,
M. Bonaventura,
Constantine Stephanidis:
Human-Computer Interaction in the Provision of an Interpersonal Communication Mechanism for the Nonvocal.
International Journal of Man-Machine Studies 27(4): 401-412 (1987) |
1986 |
2 | | M. Bonaventura,
Michael C. Fairhurst:
An investigation of pictographic form in relation to mechanisms of knowledge acquisition.
IPMU 1986: 319-328 |
1974 |
1 | | I. Aleksander,
Michael C. Fairhurst:
"Frontiers of Pattern Recognition, " edited by S. Watanabe (Book Review).
International Journal of Man-Machine Studies 6(3): 377-380 (1974) |