Distributed associative memory for use in scene analysis. - Jim Austin; T. John Stonham (Image Vis. Comput., 1987)

Grey Scale N-Tulpe Processing. - James Austin (Pattern Recognition, 1988)

Investigating Invariant Pattern Recognition Using a Flexible Development Environment. - Jim Austin; B. Nigel Brooke (Alvey Vision Conference, 1989)

A performance analysis of toroidal mesh networks. - Geoffrey M. Macharia; James Austin (Microprocessing and Microprogramming, 1990)

A Neural Network Approach to Recognition of Structural Aberrations in Chromosomes. - Mick Turner; Jim Austin; Nigel M. Allinson; P. Thompson (BMVC, 1992)

Uniform tuple storage in ADAM. - George Bolt; James Austin; Gary Morgan (Pattern Recognit. Lett., 1992)

Matching an Elastic Model of Chromosomal Shape to Features on a Self-Organising Map. - Mick Turner; Jim Austin; Nigel M. Allinson; P. Thompson (BMVC, 1993)

Chromosome location and feature extraction using neural networks. - Mick Turner; Jim Austin; Nigel M. Allinson; P. Thompson (Image Vis. Comput., 1993)

Application of an Associative Memory to the Analysis of Document Fax Images. - S. E. M. O'Keefe; Jim Austin (BMVC, 1994)

A Neural Architecture for Fast Rule Matching. - Jim Austin; John Kennedy; Ken Lees (ANNES, 1995)

C-NNAP-a parallel processing architecture for binary neural networks. - John V. Kennedy; Jim Austin; Rick Pack; Bruce Cass (ICNN, 1995)

Document Feature Recognition using a Mesh of Associative Memories. - S. E. M. O'Keefe; Jim Austin (BMVC, 1996)

Segmenting modulated line textures with S-Gabor filters. - Simon J. Hickinbotham; Edwin R. Hancock; James Austin (ICIP (3), 1996)

Distributed associative memories for high-speed symbolic reasoning. - Jim Austin (Fuzzy Sets Syst., 1996)

The COMPARES Project: COnnectionist Methods for Preprocessing and Analysis of REmote Sensing Data. - Jim Austin; Giorgio Giacinto; I. Kanellopoulos; Ken Lees; Fabio Roli; Gianni Vernazza; G. Wilkinson (ICIAP (2), 1997)

Matching performance of binary correlation matrix memories. - Mick Turner; Jim Austin (Neural Networks, 1997)

A Binary Correlation Matrix Memory k-NN Classifier with Hardware Implementation. - Ping Zhou; Jim Austin; John Kennedy (BMVC, 1998)

A Cellular Neural Associative Array for Symbolic Vision. - Christos Orovas; Jim Austin (Hybrid Neural Systems, 1998)

Learning feature characteristics. - Simon J. Hickinbotham; Edwin R. Hancock; James Austin (ICPR, 1998)

Cellular Associative Symbolic Processing for Pattern Recognition. - Christos Orovas; James Austin (MFCS Workshop on Grammar Systems, 1998)

A High Performance k-NN Classifier Using a Binary Correlation Matrix Memory. - Ping Zhou; Jim Austin; John Kennedy (NIPS, 1998)

Graph matching by neural relaxation. - Mick Turner; Jim Austin (Neural Comput. Appl., 1998)

Learning criteria for training neural network classifiers. - Ping Zhou; Jim Austin (Neural Comput. Appl., 1998)

A Neural Network Architecture for Trademark Image Retrieval. - Sujeewa Alwis; Jim Austin (IWANN (2), 1999)

Novelty Detection in Airframe Strain Data. - Simon J. Hickinbotham; James Austin (ICPR, 2000)

Neural Networks for Novelty Detection in Airframe Strain Data. - Simon J. Hickinbotham; James Austin (IJCNN (6), 2000)

An Evaluation of Standard Retrieval Algorithms and a Weightless Neural Approach. - Victoria J. Hodge; Jim Austin (IJCNN (5), 2000)

Performance evaluation of a fast chemical structure matching method using distributed neural relaxation. - Aaron Turner; Jim Austin (KES, 2000)

Reports on the AAAI 1999 Workshop Program. - Brian Drabble; Laurent Chaudron; Catherine Tessier; Sue Abu-Hakima; Steven Willmott; Jim Austin; Boi Faltings; Eugene C. Freuder; Gerhard Friedrich; Alex Alves Freitas; Ulises Cortés; Miquel Sànchez-Marrè; et al. (AI Mag., 2000)

A search engine based on neural correlation matrix memories. - Jim Austin; Ken Lees (Neurocomputing, 2000)

Building information systems based on neural networks. - Soo-Young Lee; Jim Austin; Rhee Man Kil (Neurocomputing, 2000)

Self-Similar Convolution Image Distribution Histograms as Invariant Identifiers. - C. E. Tuke; S. E. M. O'Keefe; Jim Austin (BMVC, 2001)

An integrated neural IR system. - Victoria J. Hodge; Jim Austin (ESANN, 2001)

Virtual Adaptive Learning Architecture (VALA). - Amy Metcalfe; Marcy Snitzer; James Austin (ICALT, 2001)

A Novel Binary Spell Checker. - Victoria J. Hodge; Jim Austin (ICANN, 2001)

Mapping Correlation Matrix Memory Applications onto a Beowulf Cluster. - Michael Weeks 001; Jim Austin; Anthony Moulds; Aaron Turner; Zygmunt Ulanowski; Julian Young (ICANN, 2001)

Connectionist Propositional Logic. - Daniel Kustrin; Jim Austin (Emergent Neural Computational Architectures Based on Neuroscience, 2001)

Towards Novel Neuroscience-Inspired Computing. - Stefan Wermter; Jim Austin; David J. Willshaw; Mark Elshaw (Emergent Neural Computational Architectures Based on Neuroscience, 2001)

An evaluation of standard retrieval algorithms and a binary neural approach. - Victoria J. Hodge; Jim Austin (Neural Networks, 2001)

Hierarchical Growing Cell Structures: TreeGCS. - Victoria J. Hodge; Jim Austin (IEEE Trans. Knowl. Data Eng., 2001)

Novelty detection for strain-gauge degradation using maximally correlated components. - Garry Hollier; Jim Austin (ESANN, 2002)

High frequency forecasting with associative memories. - Andy Pasley; Jim Austin (ESANN, 2002)

Scalability of a Distributed Neural Information Retrieval System. - Michael Weeks 001; Victoria J. Hodge; Jim Austin (HPDC, 2002)

A Hardware-Accelerated Novel IR System. - Michael Weeks 001; Victoria J. Hodge; Jim Austin (PDP, 2002)

Hierarchical word clustering - automatic thesaurus generation. - Victoria J. Hodge; Jim Austin (Neurocomputing, 2002)

A comparison of a novel neural spell checker and standard spell checking algorithms. - Victoria J. Hodge; Jim Austin (Pattern Recognit., 2002)

Face Recognition: A Comparison of Appearance-Based Approaches. - Thomas Heseltine; Nick E. Pears; Jim Austin; Zezhi Chen (DICTA, 2003)

Improved AURA k-Nearest Neighbour Approach. - Michael Weeks 001; Victoria J. Hodge; Simon O'Keefe; Jim Austin; Ken Lees (IWANN (2), 2003)

A Comparison of Standard Spell Checking Algorithms and a Novel Binary Neural Approach. - Victoria J. Hodge; Jim Austin (IEEE Trans. Knowl. Data Eng., 2003)

Predictive Maintenance. - Jim Austin; Thomas W. Jackson; Martyn Fletcher; Mark Jessop; Peter Cowley; Peter Lobner (The Grid 2, 2nd Edition, 2004)

Three-Dimensional Face Recognition Using Surface Space Combinations. - Thomas Heseltine; Nick E. Pears; Jim Austin (BMVC, 2004)

A Grid Based Diagnostics and Prognosis System for Rolls Royce Aero Engines: The DAME Project. - Jim Austin (CLADE, 2004)

Three-Dimensional Face Recognition: A Fishersurface Approach. - Thomas Heseltine; Nick E. Pears; Jim Austin (ICIAR (2), 2004)

Three-dimensional face recognition: an eigensurface approach. - Thomas Heseltine; Nick E. Pears; Jim Austin (ICIP, 2004)

Exploiting Safety Constraints in Fuzzy Self-organising Maps for Safety Critical Applications. - Zeshan Kurd; Tim P. Kelly; Jim Austin (IDEAL, 2004)

Mining Large Engineering Data Sets on the Grid Using AURA. - Bojian Liang; Jim Austin (IDEAL, 2004)

A Survey of Outlier Detection Methodologies. - Victoria J. Hodge; Jim Austin (Artif. Intell. Rev., 2004)

Distribution forecasting of high frequency time series. - Andy Pasley; Jim Austin (Decis. Support Syst., 2004)

A high performance k-NN approach using binary neural networks. - Victoria J. Hodge; Ken Lees; Jim Austin (Neural Networks, 2004)

Searching against distributed data using a Web service architecture. - Thomas W. Jackson; Mark Jessop; Andy Pasley; Jim Austin (CLADE, 2005)

Designing a Binary Neural Network Co-processor. - Michael Freeman; Jim Austin (DSD, 2005)

Chemical similarity searching using a neural graph matcher. - Stefan Klinger; Jim Austin (ESANN, 2005)

Hardware implementation of similarity functions. - Michael Freeman; Michael Weeks 001; Jim Austin (IADIS AC, 2005)

Modeling of Dual-Route Fear Conditioning Paradigm in the Auditory Cortex. - Biswa Sengupta; Jim Austin; Gary Green (IICAI, 2005)

A neural supergranph matching architecture. - Stefan Klinger; Jim Austin (IJCNN, 2005)

A binary neural k-nearest neighbour technique. - Victoria J. Hodge; Jim Austin (Knowl. Inf. Syst., 2005)

DAME: Searching Large Data Sets Within a Grid-Enabled Engineering Application. - Jim Austin; Robert Davis; Martyn Fletcher; Thomas W. Jackson; Mark Jessop; Bojian Liang; Andy Pasley (Proc. IEEE, 2005)

The Signal Data Explorer: A High Performance Grid based Signal Search Tool for use in Distributed Diagnostic Applications. - Martyn Fletcher; Thomas W. Jackson; Mark Jessop; Bojian Liang; Jim Austin (CCGRID, 2006)

Eliciting Perceptual Ground Truth for Image Segmentation. - Victoria J. Hodge; Garry Hollier; John P. Eakins; Jim Austin (CIVR, 2006)

Grid Enabling Data De-Duplication. - Jim Austin; Aaron Turner; Sujeewa Alwis (e-Science, 2006)

A Virtual Organisation deployed on a Service Orientated Architecture for Distributed Data Mining applications. - Thomas W. Jackson; Mark Jessop; Martyn Fletcher; Jim Austin (Grid-Based Problem Solving Environments, 2006)

A binary neural decision table classifier. - Victoria J. Hodge; Simon O'Keefe; Jim Austin (Neurocomputing, 2006)

Inducing a perceptual relevance shape classifier. - Victoria J. Hodge; John P. Eakins; James Austin (CIVR, 2007)

Layout indexing of trademark images. - Reinier H. van Leuken; M. Fatih Demirci; Victoria J. Hodge; Jim Austin; Remco C. Veltkamp (CIVR, 2007)

The Improved Correlation Matrix Memory (CMML). - Nimish Shah; Simon O'Keefe; Jim Austin (IJCNN, 2007)

Developing artificial neural networks for safety critical systems. - Zeshan Kurd; Tim Kelly; Jim Austin (Neural Comput. Appl., 2007)

Three-dimensional face recognition using combinations of surface feature map subspace components. - Thomas Heseltine; Nick E. Pears; Jim Austin (Image Vis. Comput., 2008)

Neural network based pattern matching and spike detection tools and services - in the CARMEN neuroinformatics project. - Martyn Fletcher; Bojian Liang; Leslie Smith; Alastair Knowles; Thomas W. Jackson; Mark Jessop; Jim Austin (Neural Networks, 2008)

Improved Storage Capacity in Correlation Matrix Memories Storing Fixed Weight Codes. - Stephen Hobson; Jim Austin (ICANN (1), 2009)

Binary neural network based 3D facial feature localization. - Quan Ju; Simon O'Keefe; Jim Austin (IJCNN, 2009)

Background Subtraction in Video Using Recursive Mixture Models, Spatio-Temporal Filtering and Shadow Removal. - Zezhi Chen; Nick E. Pears; Michael Freeman; Jim Austin (ISVC (2), 2009)

A binary neural shape matcher using Johnson Counters and chain codes. - Victoria J. Hodge; Simon O'Keefe; Jim Austin (Neurocomputing, 2009)

3D face landmark labelling. - Clement Creusot; Nick E. Pears; Jim Austin (3DOR@MM, 2010)

Automatic Keypoint Detection on 3D Faces Using a Dictionary of Local Shapes. - Clement Creusot; Nick E. Pears; Jim Austin (3DIMPVT, 2011)

Provenance: Current directions and future challenges for service oriented computing. - Colin C. Venters; Paul Townend; Lydia Lau; Karim Djemame; Vania Dimitrova; Alison Marshall; Jie Xu 007; Charlie Dibsdale; Nick Taylor 001; Jim Austin; John McAvoy; Martyn Fletcher; et al. (SOSE, 2011)

A Note on Two Applications of Logical Matching Strategy. - Sanil Shanker KP; Elizabeth Sherly; Jim Austin (Appl. Artif. Intell., 2011)

CARMEN: Code analysis, Repository and Modeling for e-Neuroscience. - Jim Austin; Thomas W. Jackson; Martyn Fletcher; Mark Jessop; Bojian Liang; Mike Weeks 001; Leslie Smith; Colin Ingram; Paul Watson 001 (ICCS, 2011)

3D landmark model discovery from a registered set of organic shapes. - Clement Creusot; Nick E. Pears; Jim Austin (CVPR Workshops, 2012)

A Rule Chaining Architecture Using a Correlation Matrix Memory. - James Austin; Stephen Hobson; Nathan Burles; Simon O'Keefe (ICANN (1), 2012)

A Binary Neural Network Framework for Attribute Selection and Prediction. - Victoria J. Hodge; Thomas W. Jackson; Jim Austin (IJCCI, 2012)

A Framework for Improving Trust in Dynamic Service-Oriented Systems. - Paul Townend; Colin C. Venters; Lydia Lau; Karim Djemame; Vania Dimitrova; Alison Marshall; Jie Xu 007; Charlie Dibsdale; Nick Taylor 001; Jim Austin; John McAvoy; Martyn Fletcher; et al. (ISORC Workshops, 2012)

Risk Assessment and Trust in Services Computing: Applications and Experience. - Paul Townend; Valentina Viduto; David Webster; Karim Djemame; Lydia Lau; Vania Dimitrova; Jie Xu 007; Sarah Fores; Charlie Dibsdale; Jim Austin; John McAvoy; Stephen Hobson (IEEE SCC, 2013)

The ALife Zoo: cross-browser, platform-agnostic hosting of Artificial Life simulations. - Simon J. Hickinbotham; Michael Weeks 001; James Austin (ECAL, 2013)

Improving the Associative Rule Chaining Architecture. - Nathan Burles; Simon O'Keefe; James Austin (ICANN, 2013)

Personalised Provenance Reasoning Models and Risk Assessment in Business Systems: A Case Study. - Paul Townend; David Webster; Colin C. Venters; Vania Dimitrova; Karim Djemame; Lydia Lau; Jie Xu 007; Sarah Fores; Valentina Viduto; Charlie Dibsdale; Nick Taylor 001; Jim Austin; et al. (SOSE, 2013)

A Machine-Learning Approach to Keypoint Detection and Landmarking on 3D Meshes. - Clement Creusot; Nick E. Pears; Jim Austin (Int. J. Comput. Vis., 2013)

Incorporating Scale Invariance into the Cellular Associative Neural Network. - Nathan Burles; Simon O'Keefe; James Austin (ICANN, 2014)

Software Sustainability: The Modern Tower of Babel. - Colin C. Venters; Caroline Jay; Lydia Lau; Michael K. Griffiths; Violeta Holmes; Rupert R. Ward; Jim Austin; Charlie Dibsdale; Jie Xu 007 (RE4SuSy@RE, 2014)

An Algorithm for Alignment-free Sequence Comparison using Logical Match. - Sanil Shanker KP; Elizabeth Sherly; Jim Austin (CoRR, 2014)

Sequential Data Mining using Correlation Matrix Memory. - Sanil Shanker KP; Aaron Turner; Elizabeth Sherly; Jim Austin (CoRR, 2014)

Short-term prediction of traffic flow using a binary neural network. - Victoria J. Hodge; Rajesh Krishnan; Jim Austin; John W. Polak; Thomas W. Jackson (Neural Comput. Appl., 2014)

ENAMeL: A Language for Binary Correlation Matrix Memories - Reducing the Memory Constraints of Matrix Memories. - Nathan Burles; Simon O'Keefe; James Austin; Stephen Hobson (Neural Process. Lett., 2014)

Evaluating 3D wireless grids as parallel platforms. - Amir Mansoor Kamali; Christopher Bailey 002; Jim Austin (Int. J. Ad Hoc Ubiquitous Comput., 2015)

A Digital Repository and Execution Platform for Interactive Scholarly Publications in Neuroscience. - Victoria J. Hodge; Mark Jessop; Martyn Fletcher; Michael Weeks 001; Aaron Turner; Thomas W. Jackson; Colin Ingram; Leslie Smith; Jim Austin (Neuroinformatics, 2016)

Hadoop neural network for parallel and distributed feature selection. - Victoria J. Hodge; Simon O'Keefe; Jim Austin (Neural Networks, 2016)

An Evaluation of Classification and Outlier Detection Algorithms. - Victoria J. Hodge; Jim Austin (CoRR, 2018)

Performance Analysis of a 3D Wireless Massively Parallel Computer. - Amir Mansoor Kamali Sarvestani; Chris Bailey 002; Jim Austin (J. Sens. Actuator Networks, 2018)

Miniature Untethered EEG Recorder Improves Advanced Neuroscience Methodologies. - Christopher Crispin-Bailey; Jim Austin; Bettina Platt; Anthony Moulds; Barry Crouch (IEEE Trans. Biomed. Circuits Syst., 2019)

A 65-nm CMOS Lossless Bio-Signal Compression Circuit With 250 FemtoJoule Performance Per Bit. - Christopher Crispin-Bailey; Chengliang Dai; Jim Austin (IEEE Trans. Biomed. Circuits Syst., 2019)

Investigating Novel 3D Modular Schemes for Large Array Topologies: Power Modeling and Prototype Feasibility. - Pakon Thuphairo; Christopher Bailey 002; Anthony Moulds; Jim Austin (DSD, 2022)