Personal profile

Research Interests

Neural networks; Computer vision; Ensemble methods; General artificial intelligence and pattern recognition

Biography

Mark received his undergraduate degree and masters degree in Natural Science (Maths/Physics) from Cambridge University in 2004, and then went on to receive a PhD from Bournemouth University in 2010 with a topic that focussed on Ensemble methods for pattern Classification

Vision Statement:

My research interests include general AI and pattern recognition, Neural Networks, Computer vision and Ensemble methods.

Vision Statement

My research interests include general AI and pattern recognition, Neural Networks, Computer vision and Ensemble methods.

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Fingerprint Fingerprint is based on mining the text of the person's scientific documents to create an index of weighted terms, which defines the key subjects of each individual researcher.

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Research Output 2007 2017

An Intelligent Well-being Monitoring System for Residents in Extra Care Homes

Jing, Y., Eastwood, M., Tan, B., Konios, A., Hamid, A. & Collinson, M. 23 Apr 2017

Research output: Contribution to conferencePaper

Monitoring
Sensors
Learning systems

Selective Dropout for Deep Neural Networks

Barrow, E., Eastwood, M. & Jayne, C. 29 Sep 2016 Lecture Notes in Computer Science. Hirose, A., Ozawa, S., Doya, K., Ikeda, K., Lee, M. & Liu, D. (eds.). Springer Verlag, Vol. 9949, p. 519-528

Research output: Chapter in Book/Report/Conference proceedingChapter

Neurons
Neural networks
Statistics

Deep Dropout Artificial Neural Networks for Recognising Digits and Characters in Natural Images

Barrow, E., Jayne, C. & Eastwood, M. 18 Nov 2015 Neural Information Processing. Arik, S., Huang, T., Lai, W. K. & Liu, Q. (eds.). Switzerland: Springer Verlag, Vol. 9492, p. 29-37

Research output: Chapter in Book/Report/Conference proceedingChapter

Neural networks
Experiments
2 Citations

Dual Deep Neural Network Approach to Matching Data in Different Modes

Eastwood, M. & Jayne, C. 3 Sep 2014 International Joint Conference on Neural Networks, IJCNN 2014. IEEE, Vol. Article number 6889877, p. 1688-1694

Research output: Chapter in Book/Report/Conference proceedingChapter

Open Access
Neural networks
Unsupervised learning
Supervised learning
Discriminant analysis
Network architecture
4 Citations

Evaluation of hyperbox neural network learning for classification

Eastwood, M. & Jayne, C. 2014 In : Neurocomputing. 133, p. 249-257

Research output: Contribution to journalArticle

Open Access
Learning
Datasets
Neurons
Neural networks
Supervised learning