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 Browse by Research Fields, Courses and Disciplines The Research Fields, Courses and Disciplines (Australian Standard Research Classification) is published by the Australian Bureau of Statistics (ABS catalogue number 1297.0) 1998. ABS data is used with permission from the Australian Bureau of Statistics -> 280000 Information, Computing and Communication Sciences -> 280200 Artificial Intelligence and Signal and Image Processing -> 280207 Pattern Recognition :

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  Abstract Views File Downloads Thomson Reuters Web of Science Citation Count Scopus Citation Count Altmetric Score
Maetschke, S., Gallagher, M. and Boden, M. (2007). A comparison of sequence kernels for localization prediction of transmembrane proteins. In: D. Fogel, Computational Intelligence in Bioinformatics and Computational Biology 2007 (CIBCB 2007). IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology 2007 (CIBCB 2007), Honolulu, Hawaii, (367-372). 1-5 April 2007. 112   0 Cited 1 times in Scopus1
Robinson, M., Kubik, K. and Lovell, B. (2005) A First Order Predicate Logic Formulation of the 3D Reconstruction Problem and its Solution Space. International Journal of Pattern Recognition and Artificial Intelligence, 19 1: 45-62. doi:10.1142/S0218001405003910 216 47 1 Cited 1 times in Scopus1 0
Atukorale, Don Ajantha Sanjeewa (2002). A hybrid learning system with a hierarchical architecture for pattern classification PhD Thesis, School of Information Technology and Electrical Engineering, The University of Queensland. 185 3
Walder, Christian, Lovell, Brian C. and Kootsookos, Peter J. (2003). Algebraic Curve Fitting Support Vector Machines. In: C. Sun, H. Talbot, S. Ourselin and T. Adriaansen, Digital Image Computing: Techniques and Applications. Digital Image Computing Techniques and Applications 2003, Sydney, (693-702). December, 2003. 665 846
Zhang, P and Kumar, (2006). Analysing feature significance from various systems diagnosis. In: M. Mohammadian, CIMCA 2006 International Conference on Computational Intelligence for Modelling, Control and Automation. International Conference on Computational Intelligence for ..., Sydney, Australia, (1-6). 29 November - 1 December 2006. 41  
Mustafah, Y. M., Azman, A., Bigdeli, A. and Lovell, B. C. (2007). An automated face recognition system for intelligence surveillance: Smart camera recognizing faces in the crowd. In: Distributed Smart Cameras 2007 (ICDSC 2007). First ACM/IEEE International Conference on Distributed Smart Cameras 2007, Vienna, Austria, (147-152). 25-28 September 2007. doi:10.1109/ICDSC.2007.4357518 757 1 Cited 7 times in Scopus7 0
Madasu, Vamsi Krishna and Lovell, Brian C. (2008). An Automatic Offline Signature and Forgery Detection System. In Brijesh Verma and Michael Blumenstein (Ed.), Pattern recognition technologies and applications : Recent advances (pp. 63-89) Hersey, PA: Information Science Reference. 437  
Kumar,, Zhang, P and Verma, (2006). Application of decision trees for mass classification in mammography. In: L. Jian and L. Wang, Advances in Natural Computation and Data Mining. 2nd International Conference on Natural Computation, Xian, China, (365-375). 24-28 September 2006. 101  
Tompa, Martin, Li, Nan, Bailey, Timothy L., Church, George M., De Moor, Bart, Eskin, Eleazar, Favorov, Alexander V., Frith, Martin C., Fu, Yutao, Kent, W.James, Makeev, Vsevolod J., Mironov, Andrei A., Noble, William Stafford, Pavesi, Giulio, Pesole, Graziano, Regnier, Mireille, Simonis, Nicolas, Sinha, Saurabh, Thijs, Gert, van Helden, Jacques, Vandenbogaert, Mathias, Weng, Zhiping, Workman, Christopher, Ye, Chun and Zhu, Zhou (2005) Assessing computational tools for the discovery of transcription factor binding sites. Nature Biotechnology, 23 1: 137-144. doi:10.1038/nbt1053 134   675 Cited 755 times in Scopus755 6
McKinnon, D. N. R. and Lovell, B. C. (2005). A Study of the Optimality of Approximate Maximum Likelihood Estimation. In: Lovell, B. and Maeder, A., Proceedings of Workshop on Digital Image Computing 2005 (WDIC2005). APRS Workshop on Digital Image Computing (WFIC 2005), Brisbane, Australia, (121-126). 21 February, 2005. 300 230
Madasu, V., Yusof, M., Hanmandlu, M. and Kubik, K. K. T. (2003). Automatic extraction of signatures from bank cheques and other documents. In: C. Sun, H. Talbot, S. Ourselin and T. Adriaansen, Seventh International Conference on Digital Image Computing: Techniques and Applications (DICTA 2003). The Seventh Biennial Australian Pattern Recognition Society Conference, Sydney, Australia, (591-600). 10-12 December, 2003. 75  
Madasu, Vamsi K., Lovell, Brian C. and Kubik, Kurt (2005). Automatic Handwritten Signature Verification System for Australian Passports. In: Science, Engineering and Technology Summit on Counter-Terrorism Technology, Canberra, (53-66). 14 July, 2005. 1230 1963
Sanderson, Conrad Automatic Person Verification Using Speech and Face Information revised in 2007 ed. Griffith University Nathan, Brisbane: Griffith University, 2003. 319 220
Madasu, Vamsi K. and Lovell, Brian C. (2005). Automatic Segmentation and Recognition of Bank Cheque Fields. In: B. C. Lovell, A. J. Maeder, T. Caelli and S. Ourselin, Proceedings of the Digital Imaging Computing: Techniques and Applications (DICTA 2005). Digital Image Computing: Techniques and Applications (DICTA 20005), Cairns, (223-228). 6-8 December, 2005. 553 1283 Cited 3 times in Scopus3
Sanderson, Conrad Biometric person recognition : Face, speech and fusion. Saarbrücken, Germany: VDM-Verlag, 2008. 569 1
Maetschke, S. R., Towsey, M. and Boden, M. B. (2005). BLOMAP: An encoding of amino acids which improves signal peptide cleavage site prediction. In: Y.P. Phoebe Chen and L. Wong, Proceedings of the 3rd Asia Pacific Bioinformatics Conference. 3rd Asia Pacific Bioinformatics Conference, Singapore, (141-150). 17-21 January 2005. 57  
Downs, T. and Tang, A. L. T. (2004). Boosting the tree augmented naive bayes classifier. In: Z. Yang, R. Everson and H. Yin, Intelligent Data Engineering and Automated Learning: IDEAL 2004. The Fifth International Intelligent Data Engineering and Automated Learning Conference (IDEAL), Exeter, U.K., (708-713). 25-27 August 2004. 143   3
Rottensteiner, F., Trinder, J., Clode, S., Kubik, K. and Lovell, B. C. (2004). Building Detection by Dempster-Shafer Fusion of LIDAR Data and Multispectral Aerial Imagery. In: J. Kittler, M. Petrou and M. Nixon, Proceedings of the Seventeenth International Conference on Pattern Recognition. International Conference on Pattern Recognition, Cambridge, UK, (339-342). 23-26 August. 699 1258
Biswas, Sambhunath and Lovell, Brian C. Bézier and splines in image processing and machine vision. London, U.K.: Springer, 2008. 514  
Hanmandlu, Madasu, Madasu, Vamsi Krishna and Vasikarla, Shantaram (2003). Cluster Weighted Modeling as a Basis for Fuzzy Modeling. In: P. Srimani, Proceedings of the International Conference on Information Technology: Computers and Communications. International Conference on Information Technology - Coding and Computing, Las Vegas, USA, (627-634). 28-30 April, 2003. 173 156 2
Chen, Shaokang, Lovell, Brian C. and Shan, Ting (2005). Combining Generative and Discriminative Learning for Face Recognition. In: Lovell, B.C., Maeder, A.J. and Caelli, T., Proceedings of the Digital Imaging Computing: Techniques and Applications (DICTA2005). Digital Image Computing: Techniques and Applications (DICTA 2005), Cairns, (24-29). 6-8 December, 2005. 436 491 Cited 0 times in Scopus0
Atukorale, D. and Suganthan, P. N. (1999). Combining multiple HONG networks for recognizing unconstrained handwritten numerals. In: Proceedings 1999 International Joint Conference on Neural Networks. IJCNN'99, Washington, DC, (1-6). 10-16 July 1999. 25  
Smith, G. and Kabuka, M. R. (1999) Comments on 'Design of supervised classifiers using Boolean neural networks'. IEEE Transactions on Pattern Analysis and Machine Intelligence, 21 9: 956-956. doi:10.1109/34.790438 33   1 Cited 1 times in Scopus1 0
Davis, Richard I. A. and Lovell, Brian C. (2004) Comparing and Evaluating HMM Ensemble Training Algorithms Using Train and Test and Condition Number Criteria. Pattern Analysis and Applications, 6 4: 327-335. doi:10.1007/s10044-003-0198-6 945 2061 3 Cited 7 times in Scopus7 0
Hallinan, J. and Jackway, P. T. (1999). Co-operative evolution of a neural classifier and feature subset. In: B McKay, X Yao, CS Newton, J-H Kim and T Furuhashi, Second Asia-Pacific Conference on Simulated Evolution and Learning. SEAL'98, Canberra, (397-404). 24-27 November 1998. 25  
Lehmann, S., Bradley, A.P., Clarkson, I.V.L., Williams, J. and Kootsookos, P.J. (2007) Correspondence-free determination of the affine fundamental matrix. IEEE Transactions On Pattern Analysis And Machine Intelligence, 29 1: 82-97. doi:10.1109/TPAMI.2007.250601 135 4 8 Cited 7 times in Scopus7 0
Boden, M. B. and Hawkins, J. C. (2005). Detecting residues in targeting peptides. In: Y. P. Chen and L. Wong, Proceedings of the 3rd Asia-Pacific Bioinformatics Conference. 3rd Asia-Pacific Bioinformatics Conference, Singapore, (131-140). 17-21 January, 2005. 32  
Digital image computing: Techniques and applications (2005) . Edited by Lovell, Brian C., Maeder, Anthony J., Caelli, Terry and Ourselin, Sebastien. DICTA 2005: Digital Image Computing Techniques and Applications, 6-8 December, 2005, Cairns, Qld., Australia. 242 379
Digital Image Computing: Techniques and Applications (DICTA 2005) (2005) . Edited by B. C. Lovell, A. J. Maeder, T. Caelli and S. Ourselin. Digital Imaging Computing: Techniques and Applications (DICTA 2005), 6-8 December 2005, Cairns, Australia. 73  
Liu, Nianjun, Davis, Richard I. A., Lovell, Brian C. and Kootsookos, Peter J. (2004). Effect of Initial HMM Choices in Multiple Sequence Training for Gesture Recognition. In: P. Srimani, Proceedings of the International Conference on Information Technology: Coding and Computing. International Conference on Information Technology (ITCC 2004), Las Vegas, Nevada, U.S.A., (608-613). 5-7 April, 2004. doi:10.1109/ITCC.2004.1286531 890 1680 0 0
Gates, K. E., Masters, A. L. and Downs, T. (2003). Eliminating redundant training data in support vector classification. In: V. Krasnoproshin, S. Ablameyko and Soldek, Proceedings of Seventh International Conference on Pattern Recognition and Information. PRIP2003, Minsk, Belarus, (69-74). 21-23 May 2003. 55  
Hanmandlu, Madasu, Vasikarla, Shantaram and Madasu, Vamsi Krishna (2003). Estimation of Motion from a Sequence of Images Using Spherical Projective Geometry. In: P. Srimani, Proceedings of the International Conference on Information Technology: Computers and Communications. International Conference on Information Technology: Coding & Computing, Las Vegas, Nevada, (541-545). 28-30 April, 2003. 732 1046 0
Liu, Nianjun, Lovell, Brian C. and Kootsookos, Peter J. (2003). Evaluation of HMM Training Algorithms for Letter Hand Gesture Recognition. In: A. Gershman and D. Serpanos, Proceedings of the IEEE International Symposium on Signal Processing and Information Technology. IEEE International Symposium on Signal Processing and Information Technology, Darmstadt, (WA4-7). 14-17 December. 1245 2919
Chen, Shaokang, Berglund, Erik, Bigdeli, Abbas, Sanderson, Conrad and Lovell, Brian C. (2008). Experimental analysis of face recognition on still and CCTV images. In: I. Paulidis and I. Kakadiaris, Advanced Video and Signal Based Surveillance 2008. IEEE International Conference on Advanced Video and Signal Based Surveillance 2008 (AVSS '08), Santa Fe, New Mexico, U.S.A., (317-324). 1-3 September 2008. doi:10.1109/AVSS.2008.15 150 3 Cited 0 times in Scopus0 0
Wakabayashi, M., Hawkins, J. C., Maetschke, S. R. and Boden, M. B. (2005). Exploiting sequence dependencies in the prediction of peroxisomal proteins. In: M. Gallagher, J. Hogan and F. Maire, Intelligent Data Engineering and Automated Learning - IDEAL2005. Intelligent Data Engineering and Automated Learning - IDEAL2005, Brisbane, Australia, (454-461). 6-8 July 2005. 67   3 Cited 3 times in Scopus3
Connelly, Simon, Burmeister, Jay, MacDonald, Anthony and Hussey, Andrew (2001) Extending and Evaluating a Pattern Language for Safety-Critical User Interfaces. Technical Report no. 01-01, Software Verification Research Centre, School of Information Technology, The University Of Queensland. 369 546
Handoko, SD, Keong, KC, Soon, OY, Zhang, GL and Brusic, V (2006) Extreme learning machine for predicting HLA-peptide binding. Advances In Neural Networks - Isnn 2006, Pt 3, Proceedings, 3973 -: 716-721. 98   6 Cited 8 times in Scopus8
Bigdeli, Abbas, Sim, Colin, Biglari-Abhari, Morteza and Lovell Brian C. (2007). Face Detection on Embedded Systems. In: Proceedings of the 3rd International Conference on Embedded Software and Systems: Lecture Notes in Computer Science. Third International Conference on Embedded Software and Systems, Daegu, Korea, (295-308). 14-16 May 2007. doi:10.1007/978-3-540-72685-2_28 288 573 6 0
Chen, Shaokang and Lovell, Brian C. (2003). Face Recognition with One Sample Image per Class. In: Lovell, Brian C., Campbell, Duncan A., Fookes, Clinton B. and Maeder, Anthony J., Proceedings of the Eighth Australian and New Zealand Intelligent Information Systems Conference. Australian and New Zealand Intelligent Information Systems, Sydney, (83-88). 10-12 December. 1166 929
Madasu, Vamsi Krishna, Hanmandlu, Madasu and Yusof, Mohd (2003). Fuzzy Based Approach to the Recognition of Multi-Font Numerals. In: P. Nagabhushan, S. Murali and G. Hemanth Kumar, Proceedings of the Second National Conference on Document Analysis and Recognition. The Second National Conference on Document Analysis and Recognition, Mandya, India, (118-126). 11-12 July, 2003. 946 8137
Hanmandlu, M., Yusof, M. and Madasu, V. (2003). Fuzzy modeling based recognition of multi-font numerals. In: B. Michaelis and G. Krell, Pattern Recognition. Lecture Notes in Computer Science. Proceedings of: 25th Pattern Recognition Symposium of the German-Association-for-Pattern-Recognition. 25th Pattern Recognition Symposium of the German-Association-for-Pattern-Recognition 2003, Magdeburg, Germany, (204-211). 10-12 September, 2003. 53   0
Liu, Nianjun and Lovell, Brian C. (2003). Gesture Classification Using Hidden Markov Models and Viterbi Path Counting. In: Sun, C., Talbot, H., Ourselin, S. and Adriaansen, T., Proceedings of the Seventh Biennial Australian Pattern Recognition Society Conference. The Seventh Biennial Australian Pattern Recognition Society Conference, Sydney, (273-282). 10-12 December. 1312 4355
Lovell, Brian C. (2005). Globally optimal 3D image reconstruction and segmentation via energy minimisation techniques. In: Sankar K. Pal, Sanghamitra Banyopadhyay and Sambhunath Biswas, Pattern Recognition and Machine Intelligence. 1st International Conference on Pattern Recognition and Machine Intelligence (PReMI2005), Kolkata, India, (128-136). 18-22 December 2005. 559 630 0 Cited 0 times in Scopus0
Liu, Nianjun and Lovell, Brian C. (2005). Hand gesture extraction by active shape models. In: B. C. Lovell, A. J. Maeder, T. Caelli and S. Ourselin, Proceedings of the Digital Imaging Computing: Techniques and Applications Conference (DICTA 2005). Digital Image Computing: Techniques and Applications (DICTA 2005), Cairns, Australia, (59-64). 6-8 December, 2005. 634 1890 Cited 2 times in Scopus2
Suksawatchon, J., Lursinsap, C. and Boden, M. B. (2005). Heuristic algorithm for computing reversal distance with multigene families via binary integer programming. In: G. B. Fogel, Proceedings of the 2005 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, 2005 (CIBCB '05). IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, San Diego, U.S.A., (187-193). 14-15 November 2005. 64   0
Lovell, Brian C. and Caelli, Terry (2005). Hidden Markov models for spatio-temporal pattern recognition. In C. H. Chen and P. S. P. Wang (Ed.), Handbook of pattern recognition and computer vision 3rd ed. (pp. 1-16) Singapore: World Scientific Publications. 1313 1180
Lovell, Brian C. (2003). Hidden Markov Models for Spatio-Temporal Pattern Recognition and Image Segmentation. In: Mukherjee, Dipti Prasad and Pal, Srimanta, Proceedings of the International Conference on Advances in Pattern Recognition. International Conference on Advances in Pattern Recognition, Calcutta, (60-65). 10-13 December. 798 2166
Walder, C. J. and Lovell, B. C. (2005). Homogenised Virtual Support Vector Machines. In: B. C. Lovell, A. J. Maeder, T. Caelli and S. Ourselin, Proceedings of the Digital Imaging Computer: Techniques and Applications (DICTA 2005). Digital Image Computing: Techniques and Applications (DICTA 2005), Cairns, Australia, (393-398). 6-8 December, 2005. 408 248 Cited 0 times in Scopus0
Sarrafzadeh, Abdolhossein, Alexander, Samuel, Dadgostar, Farhad, Fan, Chao and Bigdeli, Abbas (2008) "How do you know that I don’t understand?" A look at the future of intelligent tutoring systems. Computers in Human Behavior, 24 4: 1342-1363. doi:10.1016/j.chb.2007.07.008 222   14 Cited 30 times in Scopus30 0
Davis, Richard I. A. and Lovell, Brian C. (2003). Improved Ensemble Training for Hidden Markov Models using Random Relative Node Permutations. In: Lovell, Brian C. and Maeder, Anthony J., Proceedings of the 2003 APRS Workshop on Digital Image Computing. The 2003 APRS Workshop on Digital Image Computing, Brisbane, (83-86). 7 February, 2003. 1051 328

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