James Austin
List of publications from the DBLP Bibliography Server - FAQ
2009 | ||
---|---|---|
65 | EE | 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) |
2008 | ||
64 | EE | Thomas Heseltine, Nick Pears, Jim Austin: Three-dimensional face recognition using combinations of surface feature map subspace components. Image Vision Comput. 26(3): 382-396 (2008) |
63 | EE | Martyn Fletcher, Bojian Liang, Leslie Smith, Alastair Knowles, Tom 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 | ||
62 | EE | Victoria J. Hodge, John P. Eakins, James Austin: Inducing a perceptual relevance shape classifier. CIVR 2007: 138-145 |
61 | EE | Reinier H. van Leuken, M. Fatih Demirci, Victoria J. Hodge, Jim Austin, Remco C. Veltkamp: Layout indexing of trademark images. CIVR 2007: 525-532 |
60 | EE | Nimish Shah, Simon O'Keefe, Jim Austin: The Improved Correlation Matrix Memory (CMML). IJCNN 2007: 1168-1173 |
59 | EE | Zeshan Kurd, Tim Kelly, Jim Austin: Developing artificial neural networks for safety critical systems. Neural Computing and Applications 16(1): 11-19 (2007) |
2006 | ||
58 | EE | Martyn Fletcher, Tom 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 |
57 | EE | Victoria J. Hodge, Garry Hollier, John P. Eakins, Jim Austin: Eliciting Perceptual Ground Truth for Image Segmentation. CIVR 2006: 320-329 |
56 | EE | Jim Austin, Aaron Turner, Sujeewa Alwis: Grid Enabling Data De-Duplication. e-Science 2006: 2 |
55 | EE | Victoria J. Hodge, Simon O'Keefe, Jim Austin: A binary neural decision table classifier. Neurocomputing 69(16-18): 1850-1859 (2006) |
2005 | ||
54 | EE | Michael Freeman, Jim Austin: Designing a Binary Neural Network Co-processor. DSD 2005: 223-227 |
53 | EE | Stefan Klinger, Jim Austin: Chemical similarity searching using a neural graph matcher. ESANN 2005: 479-484 |
52 | Michael Freeman, Michael Weeks, Jim Austin: Hardware implementation of similarity functions. IADIS AC 2005: 329-332 | |
51 | Biswa Sengupta, Jim Austin, Gary Green: Modeling of Dual-Route Fear Conditioning Paradigm in the Auditory Cortex. IICAI 2005: 3632-3644 | |
50 | EE | Victoria J. Hodge, Jim Austin: A binary neural k-nearest neighbour technique. Knowl. Inf. Syst. 8(3): 276-291 (2005) |
2004 | ||
49 | 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 Springer 2004 | |
48 | Jim Austin: A Grid Based Diagnostics and Prognosis System for Rolls Royce Aero Engines: The DAME Project. CLADE 2004: 2 | |
47 | EE | Thomas Heseltine, Nick Pears, Jim Austin: Three-Dimensional Face Recognition: A Fishersurface Approach. ICIAR (2) 2004: 684-691 |
46 | EE | Thomas Heseltine, Nick Pears, Jim Austin: Three-dimensional face recognition: an eigensurface approach. ICIP 2004: 1421-1424 |
45 | EE | Zeshan Kurd, Tim P. Kelly, Jim Austin: Exploiting Safety Constraints in Fuzzy Self-organising Maps for Safety Critical Applications. IDEAL 2004: 266-271 |
44 | EE | Bojian Liang, Jim Austin: Mining Large Engineering Data Sets on the Grid Using AURA. IDEAL 2004: 430-436 |
43 | EE | Victoria J. Hodge, Jim Austin: A Survey of Outlier Detection Methodologies. Artif. Intell. Rev. 22(2): 85-126 (2004) |
42 | EE | Andy Pasley, Jim Austin: Distribution forecasting of high frequency time series. Decision Support Systems 37(4): 501-513 (2004) |
41 | EE | Victoria J. Hodge, Ken Lees, Jim Austin: A high performance k-NN approach using binary neural networks. Neural Networks 17(3): 441-458 (2004) |
2003 | ||
40 | EE | Thomas Heseltine, Nick Pears, Jim Austin, Zezhi Chen: Face Recognition: A Comparison of Appearance-Based Approaches. DICTA 2003: 59-68 |
39 | EE | Michael Weeks, Victoria J. Hodge, Simon O'Keefe, Jim Austin, Ken Lees: Improved AURA k-Nearest Neighbour Approach. IWANN (2) 2003: 663-670 |
38 | EE | 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) |
2002 | ||
37 | Garry Hollier, Jim Austin: Novelty detection for strain-gauge degradation using maximally correlated components. ESANN 2002: 257-262 | |
36 | Andy Pasley, Jim Austin: High frequency forecasting with associative memories. ESANN 2002: 433-438 | |
35 | EE | Michael Weeks, Victoria J. Hodge, Jim Austin: Scalability of a Distributed Neural Information Retrieval System. HPDC 2002: 423 |
34 | EE | Michael Weeks, Victoria J. Hodge, Jim Austin: A Hardware-Accelerated Novel IR System. PDP 2002: 283- |
33 | EE | Victoria J. Hodge, Jim Austin: Hierarchical word clustering - automatic thesaurus generation. Neurocomputing 48(1-4): 819-846 (2002) |
32 | EE | Victoria J. Hodge, Jim Austin: A comparison of a novel neural spell checker and standard spell checking algorithms. Pattern Recognition 35(11): 2571-2580 (2002) |
2001 | ||
31 | Stefan Wermter, Jim Austin, David J. Willshaw: Emergent Neural Computational Architectures Based on Neuroscience - Towards Neuroscience-Inspired Computing Springer 2001 | |
30 | EE | C. E. Tuke, S. E. M. O'Keefe, Jim Austin: Self-Similar Convolution Image Distribution Histograms as Invariant Identifiers. BMVC 2001 |
29 | EE | Victoria J. Hodge, Jim Austin: An integrated neural IR system. ESANN 2001: 265-270 |
28 | EE | Stefan Wermter, Jim Austin, David J. Willshaw, Mark Elshaw: Towards Novel Neuroscience-Inspired Computing. Emergent Neural Computational Architectures Based on Neuroscience 2001: 1-19 |
27 | EE | Daniel Kustrin, Jim Austin: Connectionist Propositional Logic. Emergent Neural Computational Architectures Based on Neuroscience 2001: 534-546 |
26 | Amy Metcalfe, Marcy Snitzer, James Austin: Virtual Adaptive Learning Architecture (VALA). ICALT 2001: 7-10 | |
25 | EE | Victoria J. Hodge, Jim Austin: A Novel Binary Spell Checker. ICANN 2001: 1199-1204 |
24 | EE | 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 |
23 | EE | Victoria J. Hodge, Jim Austin: Hierarchical Growing Cell Structures: TreeGCS. IEEE Trans. Knowl. Data Eng. 13(2): 207-218 (2001) |
22 | EE | Victoria J. Hodge, Jim Austin: An evaluation of standard retrieval algorithms and a binary neural approach. Neural Networks 14(3): 287-303 (2001) |
2000 | ||
21 | EE | Simon J. Hickinbotham, James Austin: Novelty Detection in Airframe Strain Data. ICPR 2000: 2536-2539 |
20 | EE | Victoria J. Hodge, Jim Austin: An Evaluation of Standard Retrieval Algorithms and a Weightless Neural Approach. IJCNN (5) 2000: 591-596 |
19 | EE | Simon J. Hickinbotham, James Austin: Neural Networks for Novelty Detection in Airframe Strain Data. IJCNN (6) 2000: 375-380 |
18 | EE | Aaron Turner, Jim Austin: Performance evaluation of a fast chemical structure matching method using distributed neural relaxation. KES 2000: 201-204 |
17 | EE | Victoria J. Hodge, James Austin: Hierarchical growing cell structures: TreeGCS. KES 2000: 553-556 |
16 | 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 Magazine 21(1): 95-100 (2000) | |
15 | EE | Soo-Young Lee, Jim Austin, Rhee Man Kil: Building information systems based on neural networks. Neurocomputing 35(1-4): 1-2 (2000) |
14 | EE | Jim Austin, Ken Lees: A search engine based on neural correlation matrix memories. Neurocomputing 35(1-4): 55-72 (2000) |
1999 | ||
13 | Sujeewa Alwis, Jim Austin: A Neural Network Architecture for Trademark Image Retrieval. IWANN (2) 1999: 361-372 | |
1998 | ||
12 | EE | Ping Zhou, Jim Austin, John Kennedy: A Binary Correlation Matrix Memory k-NN Classifier with Hardware Implementation. BMVC 1998 |
11 | Christos Orovas, Jim Austin: A Cellular Neural Associative Array for Symbolic Vision. Hybrid Neural Systems 1998: 372-386 | |
10 | Christos Orovas, James Austin: Cellular Associative Symbolic Processing for Pattern Recognition. MFCS Workshop on Grammar Systems 1998: 269-279 | |
9 | EE | Ping Zhou, Jim Austin, John Kennedy: A High Performance k-NN Classifier Using a Binary Correlation Matrix Memory. NIPS 1998: 713-722 |
1997 | ||
8 | 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 | |
7 | EE | Mick Turner, Jim Austin: Matching performance of binary correlation matrix memories. Neural Networks 10(9): 1637-1648 (1997) |
1996 | ||
6 | EE | S. E. M. O'Keefe, Jim Austin: Document Feature Recognition using a Mesh of Associative Memories. BMVC 1996 |
1995 | ||
5 | EE | Jim Austin, John Kennedy, Ken Lees: A Neural Architecture for Fast Rule Matching. ANNES 1995: 255-260 |
1993 | ||
4 | EE | Mick Turner, Jim Austin, Nigel M. Allinson, P. Thompson: Chromosome location and feature extraction using neural networks. Image Vision Comput. 11(4): 235-239 (1993) |
1992 | ||
3 | EE | George Bolt, James Austin, Gary Morgan: Uniform tuple storage in ADAM. Pattern Recognition Letters 13(5): 339-344 (1992) |
1988 | ||
2 | James Austin: Grey Scale N-Tulpe Processing. Pattern Recognition 1988: 110-119 | |
1987 | ||
1 | EE | Jim Austin, T. John Stonham: Distributed associative memory for use in scene analysis. Image Vision Comput. 5(4): 251-260 (1987) |