Jim Austin

Publication Activity (10 Years)

Years Active: 1987-2022
Publications (10 Years): 7

Top Topics

Correlation Matrix

Keypoint Detection

Top Venues

IEEE Trans. Biomed. Circuits Syst.

J. Sens. Actuator Networks

Int. J. Ad Hoc Ubiquitous Comput.

Publications

Pakon Thuphairo, Christopher Bailey, Anthony Moulds, Jim Austin
Investigating Novel 3D Modular Schemes for Large Array Topologies: Power Modeling and Prototype Feasibility. DSD (2022)
Christopher Crispin-Bailey, Chengliang Dai, Jim Austin
A 65-nm CMOS Lossless Bio-Signal Compression Circuit With 250 FemtoJoule Performance Per Bit. IEEE Trans. Biomed. Circuits Syst. 13 (5) (2019)
Christopher Crispin-Bailey, Jim Austin, Bettina Platt, Anthony Moulds, Barry Crouch
Miniature Untethered EEG Recorder Improves Advanced Neuroscience Methodologies. IEEE Trans. Biomed. Circuits Syst. 13 (5) (2019)
Victoria J. Hodge, Jim Austin
An Evaluation of Classification and Outlier Detection Algorithms. CoRR (2018)
Amir Mansoor Kamali Sarvestani, Chris Bailey, Jim Austin
Performance Analysis of a 3D Wireless Massively Parallel Computer. J. Sens. Actuator Networks 7 (2) (2018)
Victoria J. Hodge, Simon O'Keefe, Jim Austin
Hadoop neural network for parallel and distributed feature selection. Neural Networks 78 (2016)
Victoria J. Hodge, Mark Jessop, Martyn Fletcher, Michael Weeks, Aaron Turner, Thomas W. Jackson, Colin Ingram, Leslie Smith, Jim Austin
A Digital Repository and Execution Platform for Interactive Scholarly Publications in Neuroscience. Neuroinformatics 14 (1) (2016)
Amir Mansoor Kamali, Christopher Bailey, Jim Austin
Evaluating 3D wireless grids as parallel platforms. Int. J. Ad Hoc Ubiquitous Comput. 19 (3/4) (2015)
Sanil Shanker KP, Elizabeth Sherly, Jim Austin
An Algorithm for Alignment-free Sequence Comparison using Logical Match. CoRR (2014)
Sanil Shanker KP, Aaron Turner, Elizabeth Sherly, Jim Austin
Sequential Data Mining using Correlation Matrix Memory. CoRR (2014)
Victoria J. Hodge, Rajesh Krishnan, Jim Austin, John W. Polak, Thomas W. Jackson
Short-term prediction of traffic flow using a binary neural network. Neural Comput. Appl. 25 (7-8) (2014)
Colin C. Venters, Caroline Jay, Lydia Lau, Michael K. Griffiths, Violeta Holmes, Rupert R. Ward, Jim Austin, Charlie Dibsdale, Jie Xu
Software Sustainability: The Modern Tower of Babel. RE4SuSy@RE (2014)
Paul Townend, David Webster, Colin C. Venters, Vania Dimitrova, Karim Djemame, Lydia Lau, Jie Xu, Sarah Fores, Valentina Viduto, Charlie Dibsdale, Nick Taylor, Jim Austin, John McAvoy, Stephen Hobson
Personalised Provenance Reasoning Models and Risk Assessment in Business Systems: A Case Study. SOSE (2013)
Clement Creusot, Nick E. Pears, Jim Austin
A Machine-Learning Approach to Keypoint Detection and Landmarking on 3D Meshes. Int. J. Comput. Vis. 102 (1-3) (2013)
Paul Townend, Valentina Viduto, David Webster, Karim Djemame, Lydia Lau, Vania Dimitrova, Jie Xu, Sarah Fores, Charlie Dibsdale, Jim Austin, John McAvoy, Stephen Hobson
Risk Assessment and Trust in Services Computing: Applications and Experience. IEEE SCC (2013)
Clement Creusot, Nick E. Pears, Jim Austin
3D landmark model discovery from a registered set of organic shapes. CVPR Workshops (2012)
Victoria J. Hodge, Thomas W. Jackson, Jim Austin
A Binary Neural Network Framework for Attribute Selection and Prediction. IJCCI (2012)
Paul Townend, Colin C. Venters, Lydia Lau, Karim Djemame, Vania Dimitrova, Alison Marshall, Jie Xu, Charlie Dibsdale, Nick Taylor, Jim Austin, John McAvoy, Martyn Fletcher, Stephen Hobson
A Framework for Improving Trust in Dynamic Service-Oriented Systems. ISORC Workshops (2012)
Clement Creusot, Nick E. Pears, Jim Austin
Automatic Keypoint Detection on 3D Faces Using a Dictionary of Local Shapes. 3DIMPVT (2011)
Sanil Shanker KP, Elizabeth Sherly, Jim Austin
A Note on Two Applications of Logical Matching Strategy. Appl. Artif. Intell. 25 (8) (2011)
Jim Austin, Thomas W. Jackson, Martyn Fletcher, Mark Jessop, Bojian Liang, Mike Weeks, Leslie Smith, Colin Ingram, Paul Watson
CARMEN: Code analysis, Repository and Modeling for e-Neuroscience. ICCS (2011)
Colin C. Venters, Paul Townend, Lydia Lau, Karim Djemame, Vania Dimitrova, Alison Marshall, Jie Xu, Charlie Dibsdale, Nick Taylor, Jim Austin, John McAvoy, Martyn Fletcher, Stephen Hobson
Provenance: Current directions and future challenges for service oriented computing. SOSE (2011)
Clement Creusot, Nick E. Pears, Jim Austin
3D face landmark labelling. 3DOR@MM (2010)
Zezhi Chen, Nick E. Pears, Michael Freeman, Jim Austin
Background Subtraction in Video Using Recursive Mixture Models, Spatio-Temporal Filtering and Shadow Removal. ISVC (2) (2009)
Quan Ju, Simon O'Keefe, Jim Austin
Binary neural network based 3D facial feature localization. IJCNN (2009)
Stephen Hobson, Jim Austin
Improved Storage Capacity in Correlation Matrix Memories Storing Fixed Weight Codes. ICANN (1) (2009)
Victoria J. Hodge, Simon O'Keefe, Jim Austin
A binary neural shape matcher using Johnson Counters and chain codes. Neurocomputing 72 (4-6) (2009)
Thomas Heseltine, Nick E. Pears, Jim Austin
Three-dimensional face recognition using combinations of surface feature map subspace components. Image Vis. Comput. 26 (3) (2008)
Martyn Fletcher, Bojian Liang, Leslie Smith, Alastair Knowles, Thomas W. Jackson, Mark Jessop, Jim Austin
Neural network based pattern matching and spike detection tools and services - in the CARMEN neuroinformatics project. Neural Networks 21 (8) (2008)
Reinier H. van Leuken, M. Fatih Demirci, Victoria J. Hodge, Jim Austin, Remco C. Veltkamp
Layout indexing of trademark images. CIVR (2007)
Nimish Shah, Simon O'Keefe, Jim Austin
The Improved Correlation Matrix Memory (CMML). IJCNN (2007)
Zeshan Kurd, Tim Kelly, Jim Austin
Developing artificial neural networks for safety critical systems. Neural Comput. Appl. 16 (1) (2007)
Thomas W. Jackson, Mark Jessop, Martyn Fletcher, Jim Austin
A Virtual Organisation deployed on a Service Orientated Architecture for Distributed Data Mining applications. Grid-Based Problem Solving Environments (2006)
Victoria J. Hodge, Simon O'Keefe, Jim Austin
A binary neural decision table classifier. Neurocomputing 69 (16-18) (2006)
Victoria J. Hodge, Garry Hollier, John P. Eakins, Jim Austin
Eliciting Perceptual Ground Truth for Image Segmentation. CIVR (2006)
Jim Austin, Aaron Turner, Sujeewa Alwis
Grid Enabling Data De-Duplication. e-Science (2006)
Martyn Fletcher, Thomas W. Jackson, Mark Jessop, Bojian Liang, Jim Austin
The Signal Data Explorer: A High Performance Grid based Signal Search Tool for use in Distributed Diagnostic Applications. CCGRID (2006)
Biswa Sengupta, Jim Austin, Gary Green
Modeling of Dual-Route Fear Conditioning Paradigm in the Auditory Cortex. IICAI (2005)
Michael Freeman, Jim Austin
Designing a Binary Neural Network Co-processor. DSD (2005)
Victoria J. Hodge, Jim Austin
-nearest neighbour technique. Knowl. Inf. Syst. 8 (3) (2005)
Michael Freeman, Michael Weeks, Jim Austin
Hardware implementation of similarity functions. IADIS AC (2005)
Thomas W. Jackson, Mark Jessop, Andy Pasley, Jim Austin
Searching against distributed data using a Web service architecture. CLADE (2005)
Jim Austin, Robert Davis, Martyn Fletcher, Thomas W. Jackson, Mark Jessop, Bojian Liang, Andy Pasley
DAME: Searching Large Data Sets Within a Grid-Enabled Engineering Application. Proc. IEEE 93 (3) (2005)
Stefan Klinger, Jim Austin
Chemical similarity searching using a neural graph matcher. ESANN (2005)
Zeshan Kurd, Tim P. Kelly, Jim Austin
Exploiting Safety Constraints in Fuzzy Self-organising Maps for Safety Critical Applications. IDEAL (2004)
Thomas Heseltine, Nick E. Pears, Jim Austin
Three-Dimensional Face Recognition Using Surface Space Combinations. BMVC (2004)
Andy Pasley, Jim Austin
Distribution forecasting of high frequency time series. Decis. Support Syst. 37 (4) (2004)
Jim Austin
A Grid Based Diagnostics and Prognosis System for Rolls Royce Aero Engines: The DAME Project. CLADE (2004)
Thomas Heseltine, Nick E. Pears, Jim Austin
Three-Dimensional Face Recognition: A Fishersurface Approach. ICIAR (2) (2004)
Victoria J. Hodge, Ken Lees, Jim Austin
A high performance k-NN approach using binary neural networks. Neural Networks 17 (3) (2004)
Victoria J. Hodge, Jim Austin
A Survey of Outlier Detection Methodologies. Artif. Intell. Rev. 22 (2) (2004)
Bojian Liang, Jim Austin
Mining Large Engineering Data Sets on the Grid Using AURA. IDEAL (2004)
Thomas Heseltine, Nick E. Pears, Jim Austin
Three-dimensional face recognition: an eigensurface approach. ICIP (2004)
Victoria J. Hodge, Jim Austin
A Comparison of Standard Spell Checking Algorithms and a Novel Binary Neural Approach. IEEE Trans. Knowl. Data Eng. 15 (5) (2003)
Thomas Heseltine, Nick E. Pears, Jim Austin, Zezhi Chen
Face Recognition: A Comparison of Appearance-Based Approaches. DICTA (2003)
Michael Weeks, Victoria J. Hodge, Simon O'Keefe, Jim Austin, Ken Lees
Improved AURA k-Nearest Neighbour Approach. IWANN (2) (2003)
Michael Weeks, Victoria J. Hodge, Jim Austin
A Hardware-Accelerated Novel IR System. PDP (2002)
Michael Weeks, Victoria J. Hodge, Jim Austin
Scalability of a Distributed Neural Information Retrieval System. HPDC (2002)
Victoria J. Hodge, Jim Austin
A comparison of a novel neural spell checker and standard spell checking algorithms. Pattern Recognit. 35 (11) (2002)
Andy Pasley, Jim Austin
High frequency forecasting with associative memories. ESANN (2002)
Victoria J. Hodge, Jim Austin
Hierarchical word clustering - automatic thesaurus generation. Neurocomputing 48 (1-4) (2002)
Garry Hollier, Jim Austin
Novelty detection for strain-gauge degradation using maximally correlated components. ESANN (2002)
Victoria J. Hodge, Jim Austin
An evaluation of standard retrieval algorithms and a binary neural approach. Neural Networks 14 (3) (2001)
Michael Weeks, Jim Austin, Anthony Moulds, Aaron Turner, Zygmunt Ulanowski, Julian Young
Mapping Correlation Matrix Memory Applications onto a Beowulf Cluster. ICANN (2001)
C. E. Tuke, S. E. M. O'Keefe, Jim Austin
Self-Similar Convolution Image Distribution Histograms as Invariant Identifiers. BMVC (2001)
Victoria J. Hodge, Jim Austin
A Novel Binary Spell Checker. ICANN (2001)
Stefan Wermter, Jim Austin, David J. Willshaw, Mark Elshaw
Towards Novel Neuroscience-Inspired Computing. Emergent Neural Computational Architectures Based on Neuroscience (2001)
Victoria J. Hodge, Jim Austin
Hierarchical Growing Cell Structures: TreeGCS. IEEE Trans. Knowl. Data Eng. 13 (2) (2001)
Victoria J. Hodge, Jim Austin
An integrated neural IR system. ESANN (2001)
Daniel Kustrin, Jim Austin
Connectionist Propositional Logic. Emergent Neural Computational Architectures Based on Neuroscience (2001)
Soo-Young Lee, Jim Austin, Rhee Man Kil
Building information systems based on neural networks. Neurocomputing 35 (1-4) (2000)
Jim Austin, Ken Lees
A search engine based on neural correlation matrix memories. Neurocomputing 35 (1-4) (2000)
Aaron Turner, Jim Austin
Performance evaluation of a fast chemical structure matching method using distributed neural relaxation. KES (2000)
Victoria J. Hodge, Jim Austin
An Evaluation of Standard Retrieval Algorithms and a Weightless Neural Approach. IJCNN (5) (2000)
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, David W. Aha, Irma Becerra-Fernandez, Héctor Muñoz-Avila, Aditya Ghose, Tim Menzies, Ken Satoh, Mary Elaine Califf, Michael T. Cox, Sandip Sen, Patrick Brézillon, Jean-Charles Pomerol, Roy M. Turner, Elise H. Turner
Reports on the AAAI 1999 Workshop Program. AI Mag. 21 (1) (2000)
Sujeewa Alwis, Jim Austin
A Neural Network Architecture for Trademark Image Retrieval. IWANN (2) (1999)
Mick Turner, Jim Austin
Graph matching by neural relaxation. Neural Comput. Appl. 7 (3) (1998)
Ping Zhou, Jim Austin, John Kennedy
A High Performance k-NN Classifier Using a Binary Correlation Matrix Memory. NIPS (1998)
Christos Orovas, Jim Austin
A Cellular Neural Associative Array for Symbolic Vision. Hybrid Neural Systems (1998)
Ping Zhou, Jim Austin
Learning criteria for training neural network classifiers. Neural Comput. Appl. 7 (4) (1998)
Ping Zhou, Jim Austin, John Kennedy
A Binary Correlation Matrix Memory k-NN Classifier with Hardware Implementation. BMVC (1998)
Mick Turner, Jim Austin
Matching performance of binary correlation matrix memories. Neural Networks 10 (9) (1997)
Jim Austin, Giorgio Giacinto, I. Kanellopoulos, Ken Lees, Fabio Roli, Gianni Vernazza, G. Wilkinson
The COMPARES Project: COnnectionist Methods for Preprocessing and Analysis of REmote Sensing Data. ICIAP (2) (1997)
S. E. M. O'Keefe, Jim Austin
Document Feature Recognition using a Mesh of Associative Memories. BMVC (1996)
Jim Austin
Distributed associative memories for high-speed symbolic reasoning. Fuzzy Sets Syst. 82 (2) (1996)
Jim Austin, John Kennedy, Ken Lees
A Neural Architecture for Fast Rule Matching. ANNES (1995)
John V. Kennedy, Jim Austin, Rick Pack, Bruce Cass
C-NNAP-a parallel processing architecture for binary neural networks. ICNN (1995)
S. E. M. O'Keefe, Jim Austin
Application of an Associative Memory to the Analysis of Document Fax Images. BMVC (1994)
Mick Turner, Jim Austin, Nigel M. Allinson, P. Thompson
Matching an Elastic Model of Chromosomal Shape to Features on a Self-Organising Map. BMVC (1993)
Mick Turner, Jim Austin, Nigel M. Allinson, P. Thompson
Chromosome location and feature extraction using neural networks. Image Vis. Comput. 11 (4) (1993)
Mick Turner, Jim Austin, Nigel M. Allinson, P. Thompson
A Neural Network Approach to Recognition of Structural Aberrations in Chromosomes. BMVC (1992)
Jim Austin, B. Nigel Brooke
Investigating Invariant Pattern Recognition Using a Flexible Development Environment. Alvey Vision Conference (1989)
Jim Austin, T. John Stonham
Distributed associative memory for use in scene analysis. Image Vis. Comput. 5 (4) (1987)