Citation: Afr. Rahman et al., 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), 1998, pp. 361-376
Citation: Afr. Rahman et Mc. Fairhurst, AN EVALUATION OF MULTIEXPERT CONFIGURATIONS FOR THE RECOGNITION OF HANDWRITTEN NUMERALS, Pattern recognition, 31(9), 1998, pp. 1255-1273
Citation: Mc. Fairhurst et Afr. Rahman, GENERALIZED-APPROACH TO THE RECOGNITION OF STRUCTURALLY SIMILAR HANDWRITTEN CHARACTERS USING MULTIPLE EXPERT CLASSIFIERS, IEE proceedings. Vision, image and signal processing, 144(1), 1997, pp. 15-22
Citation: Afr. Rahman et Mc. Fairhurst, A NEW HYBRID APPROACH IN COMBINING MULTIPLE EXPERTS TO RECOGNIZE HANDWRITTEN NUMERALS, Pattern recognition letters, 18(8), 1997, pp. 781-790
Citation: Afr. Rahman et Mc. Fairhurst, SELECTIVE PARTITION ALGORITHM FOR FINDING REGIONS OF MAXIMUM PAIRWISEDISSIMILARITY AMONG STATISTICAL CLASS MODELS, Pattern recognition letters, 18(7), 1997, pp. 605-611
Citation: Afr. Rahman et Mc. Fairhurst, EXPLOITING 2ND-ORDER INFORMATION TO DESIGN A NOVEL MULTIPLE EXPERT DECISION COMBINATION PLATFORM FOR PATTERN-CLASSIFICATION, Electronics Letters, 33(6), 1997, pp. 476-477
Citation: Afr. Rahman et Mc. Fairhurst, MULTI-PROTOTYPE CLASSIFICATION - IMPROVED MODELING OF THE VARIABILITYOF HANDWRITTEN DATA USING STATISTICAL CLUSTERING ALGORITHMS, Electronics Letters, 33(14), 1997, pp. 1208-1210