T. Stonham

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Practical Face Recognition and Verification with Wisard

T. J. Stonham, T. Stonham, 1986 .

Fuzzy colour category map for the measurement of colour similarity and dissimilarity

T. John Stonham, Lee Hepplewhite, Matthew Seaborn, 2005, Pattern Recognit..

TOWARDS OPTIMAL ARCHITECTURES FOR LOGICAL NEURAL NETS

T. Stonham, W. Penny, 1991 .

Design of a chaotic modulation scheme based on an electronic controlled colpitts oscillator

T. John Stonham, Evangelos Zervas, Odysseus Tsakiridis, 2005, Circuits, Signals, and Systems.

Digital neural networks - A distributed architecture with self-evolving capabilities

T. John Stonham, L. Masih, T. Stonham, 1988, Neural Networks.

Evaluating the topology-preservation capabilities of a self-organising logical neural network

George Tambouratzis, T. John Stonham, T. Stonham, 1993, Pattern Recognit. Lett..

Optimal Topology-Preservation Using Self-Organising Logical Neural Networks

T. J. Stonham, G. Tambouratzis, T. Stonham, 1993 .

The Role of Forgetting in Efficient Learning Strategies for Self-Organising Discriminator-Based Systems

George Tambouratzis, T. John Stonham, T. Stonham, 1993, IWANN.

Classification of mass spectra using adaptive digital learning networks

T. J. Stonham, I. Aleksander, M. A. Shaw, 1975 .

Designing a pattern recognition system on GPU for discriminating between patients with micro-ischaemic and multiple sclerosis lesions, using MRI images

Dimitris Glotsos, Emmanouil Athanasiadis, Spiros Kostopoulos, 2013, Int. J. High Perform. Comput. Appl..

Multimodality GPU-based computer-assisted diagnosis of breast cancer using ultrasound and digital mammography images

Nikos Dimitropoulos, Dimitris Glotsos, Emmanouil Athanasiadis, 2013, International Journal of Computer Assisted Radiology and Surgery.

Real time decision support system for diagnosis of rare cancers, trained in parallel, on a graphics processing unit

Ioannis Kalatzis, Dimitris Glotsos, Spiros Kostopoulos, 2012, Comput. Biol. Medicine.

Face recognition using a digital neural network with self-organising capabilities

T. J. Stonham, M. A. Kerin, T. Stonham, 1990, [1990] Proceedings. 10th International Conference on Pattern Recognition.

Unsupervised texture segmentation by Hebbian learnt cortical cells

T. J. Stonham, L. Hepplewhite, T. Stonham, 1996, Proceedings of 13th International Conference on Pattern Recognition.

A Self-Organising Strategy for Digital Neural Networks

T. J. Stonham, M. A. Kerin, T. Stonham, 1992 .

Generalization in Sigma-Pi Networks

T. J. Stonham, R. Neville, T. Stonham, 1995 .

Accurate set-up of Gabor filters for texture classification

T. John Stonham, Devesh Patel, T. Stonham, 1995, Other Conferences.

Combined heat and power economic dispatch by improved ant colony search algorithm

T. J. Stonham, Y. H. Song, C. S. Chou, 1999 .

Perceptually based metrics for the evaluation of textural image retrieval methods

T. John Stonham, Janet Susan Payne, Lee Hepplewhite, 1999, Proceedings IEEE International Conference on Multimedia Computing and Systems.

Automated visual inspection of magnetic disk media

T. J. Stonham, R. J. Glover, L. Hepplewhite, 1996, Proceedings of Third International Conference on Electronics, Circuits, and Systems.

Texture classification using n-tuple pattern recognition

T. John Stonham, Lee Hepplewhite, T. Stonham, 1996, Proceedings of 13th International Conference on Pattern Recognition.

Surface inspection using texture recognition

T. John Stonham, Lee Hepplewhite, T. Stonham, 1994, Proceedings of 12th International Conference on Pattern Recognition.

Logic neural network-based segmentation system with variable-sensitivity characteristics

G. Tambouratzis, T. John Stonham, Devesh Patel, 1993, Other Conferences.

Image Segmentation Using a Self-Organising Logical Neural Network

T. J. Stonham, G. Tambouratzis, Devesh Patel, 1993 .

Unsupervised/supervised texture segmentation and its application to real-world data

T. John Stonham, Devesh Patel, T. Stonham, 1992, Other Conferences.

Texture image classification and segmentation using RANK-order clustering

T. J. Stonham, D. Patel, T. Stonham, 1992, Proceedings., 11th IAPR International Conference on Pattern Recognition. Vol. III. Conference C: Image, Speech and Signal Analysis,.

A single layer neural network for texture discrimination

T. J. Stonham, D. Patel, T. Stonham, 1991, 1991., IEEE International Sympoisum on Circuits and Systems.

Mapping Perceptual Texture Similarity for Image Retrieval

T. John Stonham, Janet Susan Payne, J. S. Payne, 2005, SCIA.

Toward a taxonomy of textures for image retrieval

T. John Stonham, Janet Susan Payne, J. S. Payne, 2006, Electronic Imaging.

Image representation, texture and the fuzzy n-tuple

T. John Stonham, Lee Hepplewhite, T. Stonham, 1998, Proceedings. Fourteenth International Conference on Pattern Recognition (Cat. No.98EX170).

N-tuple texture recognition and the zero crossing sketch

T. J. Stonham, L. Hepplewhite, T. Stonham, 1997 .

Continuous feedback loop for adaptive teaching and learning process using student surveys

Cristinel Mares, Alireza Mousavi, Tj Stonham, 2015 .

A review of the state-of-the-art of wireless SHM systems and an experimental set-up towards an improved design

T. John Stonham, F. P. Pentaris, John P. Makris, 2013, Eurocon 2013.

A RAM based neural network approach to people counting

T. J. Stonham, P. A. Mehta, Andrew J. Schofield, 1995 .

A system for counting people in video images using neural networks to identify the background scene

T. J. Stonham, P. A. Mehta, Andrew J. Schofield, 1996, Pattern Recognit..

PI/spl int//spl int/ARO: perceptual colour and texture queries using stackable mosaics

T. John Stonham, Lee Hepplewhite, Matthew Seaborn, 1999, Proceedings IEEE International Conference on Multimedia Computing and Systems.

Odour plume tracking robot using semiconductor gas sensors

T. John Stonham, Montep Kiatweerasakul, T. Stonham, 2002, 7th International Conference on Control, Automation, Robotics and Vision, 2002. ICARCV 2002..

Evaluation of training and mapping Sigma-pi networks to a massively parallel processor

T. J. Stonham, R. Neville, R. J. Glover, 1995, Proceedings of ICNN'95 - International Conference on Neural Networks.

Applying perceptually based metrics to textural image retrieval methods

T. John Stonham, Janet Susan Payne, Lee Hepplewhite, 2000, Electronic Imaging.

Development of a Fuzzy Rule-Based Multi-Objective Hybrid Controller for Static Synchronous Compensator

Jiang Qirong, Y. H. Song, Li Chun, 2000, Neural Computing & Applications.

Document segmentation using texture analysis

T. John Stonham, Janet Susan Payne, D. Patel, 1994, Proceedings of the 12th IAPR International Conference on Pattern Recognition, Vol. 3 - Conference C: Signal Processing (Cat. No.94CH3440-5).

Partially pre-calculated weights for the backpropagation learning regime and high accuracy function mapping using continuous input RAM-based sigma-pi nets

T. John Stonham, Ray J. Glover, Richard Stuart Neville, 2000, Neural Networks.

Optimisation of digital learning networks when applied to pattern recognition of mass spectra

T. J. Stonham, I. Aleksander, T. Stonham, 1974 .

Automatic classification of mass spectra by means of digital learning nets

T. J. Stonham, I. Aleksander, M. Camp, 1973 .

Automatic classification of mass spectra by means of digital learning nets-existence of characteristic features of chemical class in mass spectra

T. John Stonham, M. A. Shaw, T. Stonham, 1975, Pattern Recognit..