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ORCIDJim Austin
James Austin
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- affiliation: University of York, UK
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2020 – today
- 2022
[c71]Pakon Thuphairo, Christopher Bailey, Anthony Moulds, Jim Austin:
Investigating Novel 3D Modular Schemes for Large Array Topologies: Power Modeling and Prototype Feasibility. DSD 2022: 268-275
2010 – 2019
- 2019
- [j36]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): 1087-1100 (2019) - [j35]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): 1101-1111 (2019) - 2018
- [j34]Amir Mansoor Kamali Sarvestani, Chris Bailey, Jim Austin:
Performance Analysis of a 3D Wireless Massively Parallel Computer. J. Sens. Actuator Networks 7(2): 18 (2018) - [i3]Victoria J. Hodge, Jim Austin:
An Evaluation of Classification and Outlier Detection Algorithms. CoRR abs/1805.00811 (2018) - 2016
- [j33]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): 23-40 (2016) - [j32]Victoria J. Hodge, Simon O'Keefe, Jim Austin:
Hadoop neural network for parallel and distributed feature selection. Neural Networks 78: 24-35 (2016) - 2015
- [j31]Amir Mansoor Kamali, Christopher Bailey, Jim Austin:
Evaluating 3D wireless grids as parallel platforms. Int. J. Ad Hoc Ubiquitous Comput. 19(3/4): 279-289 (2015) - 2014
- [j30]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): 1639-1655 (2014) - [j29]Nathan Burles, Simon O'Keefe, James Austin, Stephen Hobson:
ENAMeL: A Language for Binary Correlation Matrix Memories - Reducing the Memory Constraints of Matrix Memories. Neural Process. Lett. 40(1): 1-23 (2014) - [c70]Nathan Burles, Simon O'Keefe, James Austin:
Incorporating Scale Invariance into the Cellular Associative Neural Network. ICANN 2014: 435-442 - [c69]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: 7-12 - [i2]Sanil Shanker KP, Aaron Turner, Elizabeth Sherly, Jim Austin:
Sequential Data Mining using Correlation Matrix Memory. CoRR abs/1407.2206 (2014) - [i1]Sanil Shanker KP, Elizabeth Sherly, Jim Austin:
An Algorithm for Alignment-free Sequence Comparison using Logical Match. CoRR abs/1407.2237 (2014) - 2013
- [j28]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): 146-179 (2013) - [c68]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: 392-399 - [c67]Simon J. Hickinbotham, Michael Weeks, James Austin:
The ALife Zoo: cross-browser, platform-agnostic hosting of Artificial Life simulations. ECAL 2013: 71-78 - [c66]Nathan Burles, Simon O'Keefe, James Austin:
Improving the Associative Rule Chaining Architecture. ICANN 2013: 98-105 - [c65]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: 329-334 - 2012
- [c64]Clement Creusot, Nick E. Pears, Jim Austin:
3D landmark model discovery from a registered set of organic shapes. CVPR Workshops 2012: 57-64 - [c63]James Austin, Stephen Hobson, Nathan Burles, Simon O'Keefe:
A Rule Chaining Architecture Using a Correlation Matrix Memory. ICANN (1) 2012: 49-56 - [c62]Victoria J. Hodge, Thomas W. Jackson, Jim Austin:
A Binary Neural Network Framework for Attribute Selection and Prediction. IJCCI 2012: 510-515 - [c61]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: 136-141 - 2011
- [j27]Sanil Shanker KP, Elizabeth Sherly, Jim Austin:
A Note on Two Applications of Logical Matching Strategy. Appl. Artif. Intell. 25(8): 708-720 (2011) - [c60]Clement Creusot, Nick E. Pears, Jim Austin:
Automatic Keypoint Detection on 3D Faces Using a Dictionary of Local Shapes. 3DIMPVT 2011: 204-211 - [c59]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: 262-267 - [c58]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: 768-777 - 2010
- [c57]Clement Creusot, Nick E. Pears, Jim Austin:
3D face landmark labelling. 3DOR@MM 2010: 27-32
2000 – 2009
- 2009
- [j26]Victoria J. Hodge, Simon O'Keefe, Jim Austin:
A binary neural shape matcher using Johnson Counters and chain codes. Neurocomputing 72(4-6): 693-703 (2009) - [c56]Stephen Hobson, Jim Austin:
Improved Storage Capacity in Correlation Matrix Memories Storing Fixed Weight Codes. ICANN (1) 2009: 728-736 - [c55]Quan Ju, Simon O'Keefe, Jim Austin:
Binary neural network based 3D facial feature localization. IJCNN 2009: 1462-1469 - [c54]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: 1141-1150 - 2008
- [j25]Thomas Heseltine, Nick E. Pears, Jim Austin:
Three-dimensional face recognition using combinations of surface feature map subspace components. Image Vis. Comput. 26(3): 382-396 (2008) - [j24]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): 1076-1084 (2008) - 2007
- [j23]Zeshan Kurd, Tim Kelly, Jim Austin:
Developing artificial neural networks for safety critical systems. Neural Comput. Appl. 16(1): 11-19 (2007) - [c53]Victoria J. Hodge, John P. Eakins, James Austin:
Inducing a perceptual relevance shape classifier. CIVR 2007: 138-145 - [c52]Reinier H. van Leuken, M. Fatih Demirci, Victoria J. Hodge, Jim Austin, Remco C. Veltkamp:
Layout indexing of trademark images. CIVR 2007: 525-532 - [c51]Nimish Shah, Simon O'Keefe, Jim Austin:
The Improved Correlation Matrix Memory (CMML). IJCNN 2007: 1168-1173 - 2006
- [j22]Victoria J. Hodge, Simon O'Keefe, Jim Austin:
A binary neural decision table classifier. Neurocomputing 69(16-18): 1850-1859 (2006) - [c50]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: 217-224 - [c49]Victoria J. Hodge, Garry Hollier, John P. Eakins, Jim Austin:
Eliciting Perceptual Ground Truth for Image Segmentation. CIVR 2006: 320-329 - [c48]Jim Austin, Aaron Turner, Sujeewa Alwis:
Grid Enabling Data De-Duplication. e-Science 2006: 2 - [c47]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: 155-170 - 2005
- [j21]Victoria J. Hodge, Jim Austin:
A binary neural k-nearest neighbour technique. Knowl. Inf. Syst. 8(3): 276-291 (2005) - [j20]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): 496-509 (2005) - [c46]Thomas W. Jackson, Mark Jessop, Andy Pasley, Jim Austin:
Searching against distributed data using a Web service architecture. CLADE 2005: 122-129 - [c45]Michael Freeman, Jim Austin:
Designing a Binary Neural Network Co-processor. DSD 2005: 223-227 - [c44]Stefan Klinger, Jim Austin:
Chemical similarity searching using a neural graph matcher. ESANN 2005: 479-484 - [c43]Michael Freeman, Michael Weeks, Jim Austin:
Hardware implementation of similarity functions. IADIS AC 2005: 329-332 - [c42]Biswa Sengupta, Jim Austin, Gary Green:
Modeling of Dual-Route Fear Conditioning Paradigm in the Auditory Cortex. IICAI 2005: 3632-3644 - [c41]Stefan Klinger, Jim Austin:
A neural supergranph matching architecture. IJCNN 2005: 2453-2458 - 2004
- [j19]Victoria J. Hodge, Jim Austin:
A Survey of Outlier Detection Methodologies. Artif. Intell. Rev. 22(2): 85-126 (2004) - [j18]Andy Pasley, Jim Austin:
Distribution forecasting of high frequency time series. Decis. Support Syst. 37(4): 501-513 (2004) - [j17]Victoria J. Hodge, Ken Lees, Jim Austin:
A high performance k-NN approach using binary neural networks. Neural Networks 17(3): 441-458 (2004) - [c40]Thomas Heseltine, Nick E. Pears, Jim Austin:
Three-Dimensional Face Recognition Using Surface Space Combinations. BMVC 2004: 1-10 - [c39]Jim Austin:
A Grid Based Diagnostics and Prognosis System for Rolls Royce Aero Engines: The DAME Project. CLADE 2004: 2 - [c38]Thomas Heseltine, Nick E. Pears, Jim Austin:
Three-Dimensional Face Recognition: A Fishersurface Approach. ICIAR (2) 2004: 684-691 - [c37]Thomas Heseltine, Nick E. Pears, Jim Austin:
Three-dimensional face recognition: an eigensurface approach. ICIP 2004: 1421-1424 - [c36]Zeshan Kurd, Tim P. Kelly, Jim Austin:
Exploiting Safety Constraints in Fuzzy Self-organising Maps for Safety Critical Applications. IDEAL 2004: 266-271 - [c35]Bojian Liang, Jim Austin:
Mining Large Engineering Data Sets on the Grid Using AURA. IDEAL 2004: 430-436 - [p1]Jim Austin, Thomas W. Jackson, Martyn Fletcher, Mark Jessop, Peter Cowley, Peter Lobner:
Predictive Maintenance. The Grid 2, 2nd Edition 2004: 69-79 - [e2]Suresh Manandhar, Jim Austin, Uday B. Desai, Yoshio Oyanagi, Asoke K. Talukder:
Applied Computing, Second Asian Applied Computing Conference, AACC 2004, Kathmandu, Nepal, October 29-31, 2004. Proceedings. Lecture Notes in Computer Science 3285, Springer 2004, ISBN 3-540-23659-7 [contents] - 2003
- [j16]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): 1073-1081 (2003) - [c34]Thomas Heseltine, Nick E. Pears, Jim Austin, Zezhi Chen:
Face Recognition: A Comparison of Appearance-Based Approaches. DICTA 2003: 59-68 - [c33]Michael Weeks, Victoria J. Hodge, Simon O'Keefe, Jim Austin, Ken Lees:
Improved AURA k-Nearest Neighbour Approach. IWANN (2) 2003: 663-670 - 2002
- [j15]Victoria J. Hodge, Jim Austin:
Hierarchical word clustering - automatic thesaurus generation. Neurocomputing 48(1-4): 819-846 (2002) - [j14]Victoria J. Hodge, Jim Austin:
A comparison of a novel neural spell checker and standard spell checking algorithms. Pattern Recognit. 35(11): 2571-2580 (2002) - [c32]Garry Hollier, Jim Austin:
Novelty detection for strain-gauge degradation using maximally correlated components. ESANN 2002: 257-262 - [c31]Andy Pasley, Jim Austin:
High frequency forecasting with associative memories. ESANN 2002: 433-438 - [c30]Michael Weeks, Victoria J. Hodge, Jim Austin:
Scalability of a Distributed Neural Information Retrieval System. HPDC 2002: 423 - [c29]Michael Weeks, Victoria J. Hodge, Jim Austin:
A Hardware-Accelerated Novel IR System. PDP 2002: 283- - 2001
- [j13]Victoria J. Hodge, Jim Austin:
An evaluation of standard retrieval algorithms and a binary neural approach. Neural Networks 14(3): 287-303 (2001) - [j12]Victoria J. Hodge, Jim Austin:
Hierarchical Growing Cell Structures: TreeGCS. IEEE Trans. Knowl. Data Eng. 13(2): 207-218 (2001) - [c28]C. E. Tuke, S. E. M. O'Keefe, Jim Austin:
Self-Similar Convolution Image Distribution Histograms as Invariant Identifiers. BMVC 2001: 1-10 - [c27]Victoria J. Hodge, Jim Austin:
An integrated neural IR system. ESANN 2001: 265-270 - [c26]Amy Metcalfe, Marcy Snitzer, James Austin:
Virtual Adaptive Learning Architecture (VALA). ICALT 2001: 7-10 - [c25]Michael Weeks, Jim Austin, Anthony Moulds, Aaron Turner, Zygmunt Ulanowski, Julian Young:
Mapping Correlation Matrix Memory Applications onto a Beowulf Cluster. ICANN 2001: 156-163 - [c24]Victoria J. Hodge, Jim Austin:
A Novel Binary Spell Checker. ICANN 2001: 1199-1204 - [c23]Stefan Wermter, Jim Austin, David J. Willshaw, Mark Elshaw:
Towards Novel Neuroscience-Inspired Computing. Emergent Neural Computational Architectures Based on Neuroscience 2001: 1-19 - [c22]Daniel Kustrin, Jim Austin:
Connectionist Propositional Logic. Emergent Neural Computational Architectures Based on Neuroscience 2001: 534-546 - [e1]Stefan Wermter, Jim Austin, David J. Willshaw:
Emergent Neural Computational Architectures Based on Neuroscience - Towards Neuroscience-Inspired Computing. Lecture Notes in Computer Science 2036, Springer 2001, ISBN 3-540-42363-X [contents] - 2000
- [j11]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): 95-100 (2000) - [j10]Soo-Young Lee, Jim Austin, Rhee Man Kil:
Building information systems based on neural networks. Neurocomputing 35(1-4): 1-2 (2000) - [j9]Jim Austin, Ken Lees:
A search engine based on neural correlation matrix memories. Neurocomputing 35(1-4): 55-72 (2000) - [c21]Simon J. Hickinbotham, James Austin:
Novelty Detection in Airframe Strain Data. ICPR 2000: 2536-2539 - [c20]Simon J. Hickinbotham, James Austin:
Neural Networks for Novelty Detection in Airframe Strain Data. IJCNN (6) 2000: 375-380 - [c19]Victoria J. Hodge, Jim Austin:
An Evaluation of Standard Retrieval Algorithms and a Weightless Neural Approach. IJCNN (5) 2000: 591-596 - [c18]Aaron Turner, Jim Austin:
Performance evaluation of a fast chemical structure matching method using distributed neural relaxation. KES 2000: 201-204 - [c17]Victoria J. Hodge, James Austin:
Hierarchical growing cell structures: TreeGCS. KES 2000: 553-556
1990 – 1999
- 1999
- [c16]Sujeewa Alwis, Jim Austin:
A Neural Network Architecture for Trademark Image Retrieval. IWANN (2) 1999: 361-372 - 1998
- [j8]Mick Turner, Jim Austin:
Graph matching by neural relaxation. Neural Comput. Appl. 7(3): 238-248 (1998) - [j7]Ping Zhou, Jim Austin:
Learning criteria for training neural network classifiers. Neural Comput. Appl. 7(4): 334-342 (1998) - [c15]Ping Zhou, Jim Austin, John Kennedy:
A Binary Correlation Matrix Memory k-NN Classifier with Hardware Implementation. BMVC 1998: 1-10 - [c14]Christos Orovas, Jim Austin:
A Cellular Neural Associative Array for Symbolic Vision. Hybrid Neural Systems 1998: 372-386 - [c13]Simon J. Hickinbotham, Edwin R. Hancock, James Austin:
Learning feature characteristics. ICPR 1998: 1160-1164 - [c12]Christos Orovas, James Austin:
Cellular Associative Symbolic Processing for Pattern Recognition. MFCS Workshop on Grammar Systems 1998: 269-279 - [c11]Ping Zhou, Jim Austin, John Kennedy:
A High Performance k-NN Classifier Using a Binary Correlation Matrix Memory. NIPS 1998: 713-722 - 1997
- [j6]Mick Turner, Jim Austin:
Matching performance of binary correlation matrix memories. Neural Networks 10(9): 1637-1648 (1997) - [c10]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: 765-772 - 1996
- [j5]Jim Austin:
Distributed associative memories for high-speed symbolic reasoning. Fuzzy Sets Syst. 82(2): 223-233 (1996) - [c9]S. E. M. O'Keefe, Jim Austin:
Document Feature Recognition using a Mesh of Associative Memories. BMVC 1996: 1-10 - [c8]Simon J. Hickinbotham, Edwin R. Hancock, James Austin:
Segmenting modulated line textures with S-Gabor filters. ICIP (3) 1996: 149-152 - 1995
- [c7]Jim Austin, John Kennedy, Ken Lees:
A Neural Architecture for Fast Rule Matching. ANNES 1995: 255-260 - [c6]John V. Kennedy, Jim Austin, Rick Pack, Bruce Cass:
C-NNAP-a parallel processing architecture for binary neural networks. ICNN 1995: 1037-1041 - 1994
- [c5]S. E. M. O'Keefe, Jim Austin:
Application of an Associative Memory to the Analysis of Document Fax Images. BMVC 1994: 1-12 - 1993
- [j4]Mick Turner, Jim Austin, Nigel M. Allinson, P. Thompson:
Chromosome location and feature extraction using neural networks. Image Vis. Comput. 11(4): 235-239 (1993) - [c4]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: 1-10 - 1992
- [j3]George Bolt, James Austin, Gary Morgan:
Uniform tuple storage in ADAM. Pattern Recognit. Lett. 13(5): 339-344 (1992) - [c3]Mick Turner, Jim Austin, Nigel M. Allinson, P. Thompson:
A Neural Network Approach to Recognition of Structural Aberrations in Chromosomes. BMVC 1992: 1-9 - 1990
- [j2]Geoffrey M. Macharia, James Austin:
A performance analysis of toroidal mesh networks. Microprocessing and Microprogramming 30(1-5): 675-682 (1990)
1980 – 1989
- 1989
- [c2]Jim Austin, B. Nigel Brooke:
Investigating Invariant Pattern Recognition Using a Flexible Development Environment. Alvey Vision Conference 1989: 1-4 - 1988
- [c1]James Austin:
Grey Scale N-Tulpe Processing. Pattern Recognition 1988: 110-119 - 1987
- [j1]Jim Austin, T. John Stonham:
Distributed associative memory for use in scene analysis. Image Vis. Comput. 5(4): 251-260 (1987)
Coauthor Index
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