Mybib

[1]	Stephen Marsland. Machine Learning: An Algorithmic Perspective. CRC Press, New Jersey, USA, 2 edition, 2014. [ bib ]
[2]	Hans W. Guesgen and Stephen Marsland, editors. Human Behavior Recognition Technologies: Intelligent Applications for Monitoring and Security. IGI Global, 2013. [ bib ]
[3]	S Biundo-Stephan, H.W. Guesgen, J. Hertzberg, and S. Marsland. Interpreting observed action (dagstuhl seminar 12491). Technical report, Dagstuhl Reports, 2013. 2(12):1-16. [ bib ]
[4]	Frowin Becker, Steve Boyes, Victoria Inman, Heiko Wittmer, and Stephen Marsland. Landscape-wide pulse events predict trait-based responses among wetland birds in perennial channels of a dryland wetland. Ecological Applications, 34:e2931, 2024. [ bib ]
[5]	Marcus Frean and Stephen Marsland. Score-mediated mutual consent and indirect reciprocity. Proceedings of the National Academy of Sciences, 120(3):e2302107120, 2023. [ bib ]
[6]	I.C. Castro, M.R. Alley, Hunter S.A., S. Marsland, and S. Alexander. Kiwi misadventure and its association with climate change. Kokako, 30(2):19--23, 2023. [ bib ]
[7]	Sook-Ling Chua, Lee Kien Foo, Hans W. Guesgen, and Stephen Marsland. Incremental learning of human activities in smart homes. Sensors, 22(21):8458, 2022. [ bib ]
[8]	Arianna Salili-James, Anne Mackay, Emilio Rodriguez-Alvarez, Diana Rodriguez-Perez, Thomas Mannack, Timothy A. Rawlings, A. Richard Palmer, Jonathan Todd, Terhi E. Riutta, Cate Macinnis-Ng, Zhitong Han, Megan Davies, Zinnia Thorpe, Stephen Marsland, and Armand M. Leroi. Classifying organisms and artefacts by their outline shapes. Journal of the Royal Society Interface, 19:20220493, 2022. [ bib ]
[9]	Marcus Frean and Stephen Marsland. Holds enable one-shot reciprocal exchange. Proceedings of the Royal Society B: Biological Sciences, 289:20220723, 2022. [ bib ]
[10]	Julius Juodakis and Stephen Marsland. Wind-robust sound event detection and denoising for bioacoustics. Methods in Ecology and Evolution, 13(9):2005--2017, 2022. [ bib ]
[11]	Julius Juodakis and Stephen Marsland. Epidemic changepoint detection in the presence of nuisance changes. Statistical Papers, 64:17--39, 2023. [ bib ]
[12]	Richard Brown, Stephen Marsland, and Robert McLachlan. Differential invariant signatures for planar lie group transformations with application to images. Journal of Lie Theory, 32(3):709--736, 2022. [ bib ]
[13]	James Benn and Stephen Marsland. The measurement and analysis of shapes: an application of hydrodynamics and probability theory. Annals of Global Analysis and Geometry, 62:47--70, 2022. [ bib ]
[14]	Ayesha Hakim, Stephen Marsland, and Hans Guesgen. Computational representation and analysis of emotion dynamics. Multimedia Tools and Applications, 81:21111--21133, 2022. [ bib ]
[15]	Stephen Marsland, Robert I McLachlan, and Christopher Tuffley. Parametric study of e. coli incidence with reference to the New Zealand freshwater standards and the Manawatū--Whanganui region. ANZIAM Journal, 59:M63--M125, 2022. [ bib ]
[16]	Frowin Becker, Fannie Shabangu, Tess Gridley, Heiko Wittmer, and Stephen Marsland. Sounding out a continent: Seven decades of bioacoustics research in Africa. Bioacoustics, 31(6), 2022. [ bib ]
[17]	Susan Ellis and Stephen Marsland. Sounding out the nest: Unobtrusive localisation of north island brown kiwi (apteryx mantelli) incubation burrow. New Zealand Journal of Ecology, 46(1), 2022. [ bib ]
[18]	Alberto de Rosa, Isabel Castro, and Stephen Marsland. The playback technique in avian fieldwork contexts: a systematic review and recommendations for best practice. IBIS, 164(2):371--387, 2022. [ bib ]
[19]	Julius Juodakis, Nirosha Priyadarshani, and Stephen Marsland. A changepoint pre-filter for sound event detection in long-term bioacoustic recordings. The Journal of the Acoustical Society of America, 150:2469--2478, 2021. [ bib ]
[20]	J Juodakis, I Castro, and S Marsland. Precision as a metric for acoustic survey design using occupancy or spatial capture-recapture. Environmental and Ecological Statistics, 28:587--608, 2021. [ bib ]
[21]	Stephen Marsland, Robert McLachlan, and Raziyeh Zarre. Analysing `simple' image registrations. Journal of Mathematical Imaging and Vision, 63(4):528--540, 2021. [ bib ]
[22]	Stephen Marsland, Robert McLachlan, and M. Yousuf Tufail. Conformal image registration based on constrained optimisation. ANZIAM Journal, 62(3):235--255, 2021. [ bib ]
[23]	Nirosha Priyadarshani, Stephen Marsland, Julius Juodakis, Isabel Castro, and Virginia Listanti. Wavelet filters for automated recognition of birdsong in long-time field recordings. Methods in Ecology and Evolution, 11:403--417, 2020. [ bib ]
[24]	Yukio Fukuzawa, Wesley H. Webb, Matthew D. M. Pawley, Michelle M. Roper, Stephen Marsland, Dianne H. Brunton, and Andrew Gilman. Koe: web-based software to classify acoustic units and analyse sequence structure in animal vocalisations. Methods in Ecology and Evolution, 11:431--441, 2020. [ bib ]
[25]	Charles Curry, Stephen Marsland, and Robert I McLachlan. Principal symmetric space analysis. Journal of Computational Dynamics, 6(2):251--276, 2019. [ bib ]
[26]	James Benn, Stephen Marsland, Robert McLachlan, Klas Modin, and Olivier Verdier. Currents and finite elements as tools for shape space. Journal of Mathematical Imaging and Vision, 61(8):1197--1220, 2019. [ bib ]
[27]	Stephen Marsland, Robert McLachlan, and Matt Wilkins. Parallelization, initialization, and boundary treatments for the diamond scheme. Numerical Algorithms, 84:761--779, 2020. [ bib ]
[28]	Stephen Marsland, Nirosha Priyadarshani, Julius Juodakis, and Isabel Castro. Avianz: A future-proofed program for annotation and recognition of animal sounds in long-time field recordings. Methods in Ecology and Evolution, 10(8):1189--1195, 2019. [ bib ]
[29]	Jiri C Moravec, Stephen Marsland, and Murray Cox. Warfare induces post-marital residence change. Journal of Theoretical Biology, 474:52--62, 2019. [ bib ]
[30]	Isabel Castro, Alberto De Rosa, Nirosha Priyadarshani Pitakande Gedara, Leanne Bradbury, and Stephen Marsland. Experimental test of birdcall detection by autonomous recorder units and by human observers using broadcast. Ecology and Evolution, 9:2376--2397, 2019. [ bib ]
[31]	Jiri Moravec, Quentin Atkinson, Claire Bowern, Simon J Greenhill, Fiona M Jordan, Robert M Ross, Russell Gray, Stephen Marsland, and Murray P Cox. Post-marital residence patterns show lineage-specific evolution. Evolution and Human Behavior, 39(6):594--601, 2018. [ bib ]
[32]	Nirosha Priyadarshani, Isabel Castro, and Stephen Marsland. The impact of environmental factors in birdsong acquisition using automated recorders. Ecology and Evolution, 8(10):5016--5033, 2018. [ bib ]
[33]	Nirosha Priyadarshani, Stephen Marsland, and Isabel Castro. Automated birdsong recognition in complex acoustic environments: a review. Journal of Avian Biology, 49(5), 2018. [ bib ]
[34]	An Cong Tran, Jens Dietrich, Hans W Guesgen, and Stephen Marsland. Symmetric parallel class expression learning. Journal of Machine Learning Research, 18(64):1--34, 2017. [ bib ]
[35]	Stephen Marsland and Tony Shardlow. Langevin equations for landmark image registration with uncertainty. SIAM Journal on Imaging Sciences, 10(2):782--807, 2017. [ bib ]
[36]	Aram Ter-Sarkisov and Stephen Marsland. K-bit swap: A new operator for real-coded evolutionary algorithms. Soft Computing, 21(20):6133--6142, 2017. [ bib ]
[37]	Stephen Marsland and Robert McLachlan. Möbius invariants of shapes and images. SIGMA, 12(80), 2016. [ bib ]
[38]	Sook-Ling Chua, Stephen Marsland, and Hans Guesgen. A supervised learning approach for behaviour recognition in smart homes. Journal of Ambient Intelligence and Smart Environments, 8:259--271, 2016. [ bib ]
[39]	Nirosha Priyadarshani, Stephen Marsland, Isabel Castro, and Amal Punchihewa. Birdsong denoising using wavelets. PLoS One, 11(1), 2016. [ bib ]
[40]	Hans Guesgen and Stephen Marsland. Using contextual information for recognising human behaviour. International Journal of Ambient Computing and Intelligence, 7(1):27--44, 2016. [ bib ]
[41]	Callum Lowcay, Stephen Marsland, and Catherine McCartin. Network parameters and heuristics in practice: A case study using the target set selection problem. Journal of Complex Networks, 2(4):373--393, 2014. [ bib ]
[42]	Martin Bauer, Martins Bruveris, Stephen Marsland, and Peter Michor. Constructing reparameterization invariant metrics on spaces of plane curves. Differential Geometry and its Applications, 34:139--165, 2014. [ bib ]
[43]	Stephen Marsland, Robert I McLachlan, Klas Modin, and Matt Perlmutter. On conformal variational problems and free boundary continua. Journal of Physics A, 47(14), 2014. [ bib ]
[44]	Fahim Abbasi, Richard Harris, Stephen Marsland, and Giovanni Moretti. An exemplar-based learning approach for detection and classification of malicious network streams in honeynets. Security and Communication Networks, 7(2):352--364, 2014. [ bib \| .pdf ]
[45]	Giovanni Moretti, Stephen Marsland, Debraj Basu, Gourab Sen Gupta, and the MUSE Group. Towards a monitoring smart home for the elderly: One experience in retrofitting a sensor network into an existing home. Journal of Ambient Intelligence and Smart Environments, 2013. [ bib \| .pdf ]
[46]	Sven Albrecht, Thomas Wiemann, Joachim Hertzberg, Hans W Guesgen, and Stephen Marsland. Object recognition to activity interpretation and back, based on point cloud data. Künstliche Intelligenz, 27(2):161, 2013. [ bib \| .pdf ]
[47]	Stephen Marsland, Robert I McLachlan, Klas Modin, and Matt Perlmutter. Geodesic warps by conformal mappings. International Jrnl of Computer Vision, 105:144--154, 2013. [ bib \| .pdf ]
[48]	Carole Twining and Stephen Marsland. Discrete differential geometry: The nonplanar quadrilateral mesh. Physical Review E, 85(6), 2012. [ bib \| .pdf ]
[49]	K. Holt, G. Allen, R. Hodgson, S. Marsland, and J. Flenley. Progress towards an automated trainable pollen location and classifier system for use in the palynology laboratory. Review of Palaeobotany and Palynology, 167:175--183, 2011. [ bib \| .pdf ]
[50]	Giovanni Moretti, Stephen Marsland, and Paul Lyons. Computational production of colour harmony ii: Experimental evaluation of a tool for gui colour scheme creation. Color Research and Applications, 38(3):218--228, 2013. [ bib \| .pdf ]
[51]	Giovanni Moretti, Paul Lyons, and Stephen Marsland. Computational production of colour harmony i: A prototype colour harmonisation tool. Color Research and Applications, 38(3):203--217, 2013. [ bib \| .pdf ]
[52]	Rosanne Hawarden and Stephen Marsland. Locating women board members in gendered director networks. Gender in Management, 26(8):532--549, 2011. [ bib \| .pdf ]
[53]	K. Modin, M. Perlmutter, S. Marsland, and R. I. McLachlan. On Euler-Arnold equations and totally geodesic subgroups. Journal of Geometry and Physics, 61:1446--1461, 2011. [ bib \| .pdf ]
[54]	Matthew Liu, Ken Hawick, Stephen Marsland, and Rui Jiang. Spontaneous symmetry breaking in asymmetric exclusion process with constrained boundaries and site sharing: A Monte Carlo study. Physica A: Statistical Mechanics and its Applications, 389(18):3870--3875, 2010. [ bib \| .pdf ]
[55]	Paul Lyons, C.A. Tran, H. Joe Steinhauer, Stephen Marsland, Jens Dietrich, and Hans W. Guesgen. Exploring the responsibilities of single-inhabitant smart homes with use cases. Journal of Ambient Intelligence and Smart Environments, 2(3):211--232, 2010. [ bib \| .pdf ]
[56]	Matthew Liu, Ken Hawick, and Stephen Marsland. Asymmetric exclusion processes with site sharing in a one-channel transport system. Physics Letters A, 374(4):516--521, 2010. [ bib \| .pdf ]
[57]	Hans Guesgen and Stephen Marsland. Spatio-temporal footprints. International Journal of Ambient Computing and Intelligence (IJACI), 2(1):52--58, 2010. [ bib \| .pdf ]
[58]	Stephen Marsland. Using habituation in machine learning. Neurobiology of Learning and Memory, 92:260--266, 2009. [ bib \| .pdf ]
[59]	Catharine H. Rankin, Thomas Abrams, Robert J. Barry, Seema Bhatnagar, David F. Clayton, John Colombo, Gianluca Coppola, Mark A. Geyer, David L. Glanzman, Stephen Marsland, Frances K. McSweeney, Donald A. Wilson, Chun-Fang Wu, and Richard F. Thompson. Habituation revisited: An updated and revised description of the behavioral characteristics of habituation. Neurobiology of Learning and Memory, 92:135--138, 2009. [ bib \| .pdf ]
[60]	Stephen Marsland, Carole Twining, and Chris Taylor. A minimum description length objective function for groupwise non-rigid image registration. Image and Vision Computing, 26(3):333--346, 2008. [ bib \| .pdf ]
[61]	Carole Twining and Stephen Marsland. Constructing an atlas for the diffeomorphism group of a compact manifold with boundary, with application to the analysis of image registrations. Journal of Computational and Applied Mathematics, 222:411--428, 2008. [ bib \| .pdf ]
[62]	Luofeng Xu, Ruili Wang, Stephen Marsland, and Ramesh Rayudu. An efficient algorithm for mining frequent closed itemsets in dynamic transaction databases. International Journal of Intelligent Systems Technologies and Applications, 4(3/4):313--326, 2008. [ bib ]
[63]	Robert I McLachlan and Stephen Marsland. N-particle dynamics of the Euler equations for planar diffeomorphisms. Dynamical Systems, 22(3):269 -- 290, 2007. [ bib \| .pdf ]
[64]	Robert I McLachlan and Stephen Marsland. Discrete mechanics and optimal control for image registration. ANZIAM Journal, 48:C1--C16, 2007. http://anziamj.austms.org.au/ojs/index.php/ANZIAMJ/article/view/82 [April 23, 2007]. [ bib \| http ]
[65]	Robert I McLachlan and Stephen Marsland. The Kelvin-Helmholtz instability of momentum sheets in the Euler equations for planar diffeomorphisms. SIAM Journal on Applied Dynamical Systems, 5(4):726--758, 2006. [ bib \| DOI \| .pdf ]
[66]	Stephen Marsland, Ulrich Nehmzow, and Jonathan Shapiro. On-line novelty detection for autonomous mobile robots. Robotics and Autonomous Systems, 51(2-3):191--206, 2005. [ bib \| .pdf ]
[67]	Stephen Marsland and Carole Twining. Constructing diffeomorphic representations for the groupwise analysis of non-rigid registrations of medical images. IEEE Transactions on Medical Imaging, 23(8):1006--1020, 2004. [ bib \| .pdf ]
[68]	Stephen Marsland. The creationist algorithm. Annals of Improbable Research, 9(1):27, 2003. [ bib \| .pdf ]
[69]	Stephen Marsland. Novelty detection in learning systems. Neural Computing Surveys, 3:157--195, 2003. [ bib \| .pdf ]
[70]	Stephen Marsland, Jonathan Shapiro, and Ulrich Nehmzow. A self-organising network that grows when required. Neural Networks, 15(8-9):1041--1058, 2002. [There is a reference to a similar piece of work omitted from this paper. It is: A. Baraldi and P. Blonda, `A survey of fuzzy clustering algorithms for pattern recognition: Part II', IEEE Trans. Systems, Man and Cybernetics - Part B: Cybernetics, vol. 29, no. 6, pp. 786-801, Dec. 1999.]. [ bib \| .pdf ]
[71]	Tom Duckett, Marsland Stephen, and Jonathan Shapiro. Fast, on-line learning of globally consistent maps. Autonomous Robots, 12(3):287--300, 2002. [ bib \| .pdf ]
[72]	Stephen Marsland, Ulrich Nehmzow, and Tom Duckett. Learning to select distinctive landmarks for mobile robot navigation. Robotics and Autonomous Systems, 37(4):241--260, 2001. [ bib \| .pdf ]
[73]	Iain Buchan, Stephen Marsland, and Paul Beatty. Letter in response to `Monitoring of mortality rates in primary care' by Aylin, Best, Bottle and Marshall. The Lancet, 362:1238--1239, 2003. [ bib \| .pdf ]
[74]	Stephen Marsland and Stefan Sommer. Riemannian Geometric Statistics in Medical Image Analysis, chapter Riemannian Geometry on Shapes and Diffeomorphisms: Statistics via actions of the diffeomorphism group. 2019. [ bib ]
[75]	Hans W. Guesgen and Stephen Marsland. Artificial Intelligence and Ambient Intelligence, chapter Modelling Spatial and Temporal Context to Support Activity Recognition. 2017. [ bib ]
[76]	Sook-Ling Chua, Stephen Marsland, and Hans W. Guesgen. Handbook of Smart Homes, Health Care and Well-being, chapter Behavior Recognition in Smart Homes. Springer, 2015. [ bib ]
[77]	Hans W. Guesgen and Stephen Marsland. Recent Advances in Ambient Intelligence and Context-Aware Computing, chapter Human Behaviour Recognition in Ambient Intelligent Environments. IGI Global, 2015. [ bib ]
[78]	Stephen Marsland. Machine Learning, volume 1, chapter The Computing Handbook, pages 36--1--36--7. The CRC Press, 3rd edition, 2014. [ bib ]
[79]	Hans W. Guesgen and Stephen Marsland. Spatio-Temporal Reasoning and Context Awareness, pages 609--634. Springer, Berlin, Germany, 2010. [ bib \| .pdf ]
[80]	Hans W. Guesgen and Stephen Marsland. Recognising Human Behaviour in a Spatio-Temporal Context. IGI Global, Pennsylvania, USA, 2010. [ bib \| .pdf ]
[81]	Sook-Ling Chua, Stephen Marsland, and Hans W. Guesgen. Towards Behaviour Recognition with Unlabelled Sensor Data: As Much As Necessary, as Little as Possible. IGI Global, 2013. [ bib ]
[82]	Mashfiqul Huq Chowdhury, Yuichi Hirose, Stephen Marsland, and Yuan Yao. Deep mixtures of variational autoencoders model for representation learning and clustering tasks. In 31st International Conference on Neural Information Processing (ICONIP2024), 2024. [ bib ]
[83]	Mashfiqul Huq Chowdhury, Yuichi Hirose, Stephen Marsland, and Yuan Yao. Unsupervised clustering using a variational autoencoder with constrained mixtures for posterior and prior. In 21st Pacific Rim International Conference on Artificial Intelligence (PRICAI 2024), 2024. [ bib ]
[84]	Benjamin Yen, Jemima Prins, Gian Schmid, Yusuke Hioka, Susan Ellis, and Stephen Marsland. Design of a low-cost passive acoustic monitoring system for animal localisation from calls. In 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2022. [ bib ]
[85]	Joerg Frochte and Stephen Marsland. Regression learning on patches. In Proceedings of the IEEE Symposium Series on Computational Intelligence, 2020. [ bib ]
[86]	Michal Salter-Duke, Geoffrey Whittle, and Stephen Marsland. Tangles in networks and their application to describing communities. In SIAM Workshop on Network Science, 2020. [ bib ]
[87]	Joerg Frochte and Stephen Marsland. A learning approach for ill-posed optimisation problems. In Proceedings of the Australasian Data Mining Conference, 2019. [ bib ]
[88]	Amjed Tahir, Kwabena E. Bennin, Stephen G. MacDonell, and Stephen Marsland. Revisiting the size effect in software fault prediction models. In Proceedings of the 12th ACM/IEEE International Symposium on Empirical Software Engineering and Measurement, 2018. [ bib ]
[89]	Amir Ghodrati, Rachel Blagojevic, Hans W Guesgen, Stephen Marsland, and Beryl Plimmer. The role of grouping in sketched diagram recognition. In Expressive 2018, 2018. [ bib ]
[90]	Hans W Guesgen, Dick Whiddett, Inga Hunter, Phoebe Elers, Caroline Lockhart, Amardeep Singh, and Stephen Marsland. Using spatio-temporal anomalies for abnormal behaviour detection for smart homes. In 31st Florida Artificial Intelligence Research Society Conference, 2018. [ bib ]
[91]	Ben Pedersen, Donald Bailey, Robert Hodgson, Katherine Holt, and Stephen Marsland. Model and feature selection for the classification of dark field pollen images using the classifynder system. In 2017 International Conference on Image and Vision Computing New Zealand (IVCNZ), 2017. [ bib ]
[92]	Stephen Marsland and Carole Twining. Data analysis in Weitzenböck space. In International Joint Conference on Neural Networks (IJCNN), 2017. [ bib ]
[93]	Yukio Fukuzawa, Stephen Marsland, Matthew Pawley, and Andrew Gilman. Segmentation of harmonic syllables in noisy recordings of bird vocalisations. In Image and Vision Computing New Zealand (IVCNZ), 2016. [ bib ]
[94]	Fergus Hewson, Jens Dietrich, and Stephen Marsland. Performance regression testing on the java virtual machine using statistical test oracles. In 24th Australasian Software Engineering Conference, 2015. [ bib ]
[95]	Hussain A Al-Mutawa, Stephen Marsland, and Catherine McCartin. On the shape of circular dependencies in java programs. In 23rd Australasian Software Engineering Conference (ASWEC), 2014. [ bib ]
[96]	Callum Lowcay, Stephen Marsland, and Catherine McCartin. Network parameters in practice: A case study using the target set selection problem. In International Workshop on Complex Networks and their Applications, 2013. [ bib ]
[97]	Callum Lowcay, Stephen Marsland, and Catherine McCartin. Constrained switching in graphs: A constructive proof. In International Workshop on Complex Networks and their Applications, 2013. [ bib ]
[98]	C.A. Tran, Jens Dietrich, Hans W. Guesgen, and Stephen Marsland. Improving predictive specificity of description logic learners by fortification. In Proceedings of the Asian Conference on Machine Learning, 2013. [ bib \| .pdf ]
[99]	Aram Ter-Sarkissov and Stephen Marsland. Convergence properties of (μ + λ) evolutionary algorithms. In Proceedings of the Twenty-Fifth Conference on Artificial Intelligence (AAAI-11), pages 1816--1817, 2011. [ bib \| .pdf ]
[100]	Debraj Basu, G. Sen Gupta, Giovanni Moretti, and Stephen Marsland. Wireless sensor network based smart home: Deployment and monitoring. In IEEE Sensors Applications Symposium, 2013. [ bib \| .pdf ]
[101]	Sven Albrecht and Stephen Marsland. Seeing the unseen: Simple reconstruction of transparent objects from point cloud data. In Proceedings of the 2nd RSS Workshop on Robots in Clutter, 2013. [ bib \| .pdf ]
[102]	Ayesha Hakim, Stephen Marsland, and Hans W. Guesgen. Computational analysis of emotion dynamics. In International Conference on Affective Computing and Intelligent Interaction, 2013. [ bib \| .pdf ]
[103]	Ayesha Hakim, Stephen Marsland, and Hans W. Guesgen. Statistical modelling of complex emotions using mixtures of von mises distributions. In International Conference on Affective Computing and Intelligent Interaction, 2013. [ bib \| .pdf ]
[104]	C.A. Tran, Hans W. Guesgen, Jens Dietrich, and Stephen Marsland. An approach to numeric refinement in description logic learning for learning activities duration in smart homes. In AAAI-13 Workshop on Space, Time and Ambient Intelligence, 2013. [ bib \| .pdf ]
[105]	Ayesha Hakim, Stephen Marsland, and Hans Guesgen. A robust joint face model for human emotion recognition. In Image and Vision Computing New Zealand, 2012. [ bib \| .pdf ]
[106]	C.A. Tran, Jens Dietrich, Hans W. Guesgen, and Stephen Marsland. Two-way parallel class expression learning. In Fourth Asian Conference on Machine Learning, 2012. [ bib \| .pdf ]
[107]	C.A. Tran, Jens Dietrich, Hans W. Guesgen, and Stephen Marsland. An approach to parallel description logic learning. In RuleML, 2012. [ bib \| .pdf ]
[108]	H. Joe Steinhauer, Stephen Marsland, and Hans W. Guesgen. Context awareness for a smart environment utilizing context maps and Dempster-Shafer theory. In International Conference on Smart Technology, 2012. [ bib \| .pdf ]
[109]	Carole Twining and Stephen Marsland. Metrics, connections, and correspondence: The setting for groupwise shape analysis. In Intl. Conference on Energy Minimization Methods in Computer Vision and Pattern Recognition, 2011. [ bib \| .pdf ]
[110]	Aram Ter-Sarkissov and Stephen Marsland. Convergence of a recombination-based elitist evolutionary algorithm on the royal roads test function. In 24th Australasian Joint Conference on Artificial Intelligence, 2011. [ bib \| .pdf ]
[111]	Aram Ter-Sarkissov and Stephen Marsland. Convergence properties of two (μ+ λ) evolutionary algorithms on onemax and royal roads test functions. In International Conference on Evolutionary Computation Theory and Applications (ECTA), 2011. [ bib \| .pdf ]
[112]	Stephen Marsland, Robert I McLachlan, Klas Modin, and Matt Perlmutter. On a geodesic equation for planar conformal template matching. In 3rd Workshop on Mathematical Foundations of Computational Anatomy, pages 52--63, 2011. [ bib \| .pdf ]
[113]	Sook-Ling Chua, Stephen Marsland, and Hans W. Guesgen. Unsupervised learning of human behaviours. In Proceedings of the Twenty-Fifth Conference on Artificial Intelligence (AAAI-11), 2011. [ bib \| .pdf ]
[114]	Sook-Ling Chua, Marsland Stephen, and Hans W. Guesgen. Unsupervised learning of patterns in data streams using compression and edit distance. In Proceedings of the International Joint Conference on Artificial Intelligence, 2011. [ bib \| .pdf ]
[115]	K. Modin, M. Perlmutter, S. Marsland, and R. I. McLachlan. Geodesics on lie groups: Euler equations and totally geodesic subgroups. Technical report, Res. Lett. Inf. Math. Sci. (Massey University), vol. 14, pp. 79-106, 2011. [ bib ]
[116]	Graham Jenson, Jens Dietrich, Hans W. Guesgen, and Stephen Marsland. An empirical study into component system evolution. In 14th International ACM SIGSOFT Symposium on Component Based Software Engineering, 2011. [ bib \| .pdf ]
[117]	Paul Johnson and Stephen Marsland. Beat: A tool for visualizing the execution of object beat: A tool for visualizing the execution of object-orientated concurrent programs. In Proceedings of the 5th ACM Symposium on Software Visualization, 2010. [ bib \| .pdf ]
[118]	An C. Tran, Stephen Marsland, Jens Dietrich, Hans Guesgen, and Paul Lyons. Use cases for abnormal behaviour detection in smart homes. In 8th International Conference on Smart Homes and Health Telematics, 2010. [ bib \| .pdf ]
[119]	Ayesha Hakim, Stephen Marsland, and Hans Guesgen. A reliable hybrid technique for human face recognition. In International Conference on Computer Vision Theory and Applications, 2010. [ bib ]
[120]	Aram Ter-Sarkissov, Stephen Marsland, and Barbara Holland. The k-bit-swap: A new genetic algorithm operator. In Proceedings of GECCO, 2010. [ bib \| .pdf ]
[121]	Joe Steinhauer, Sook-Ling Chua, Hans W. Guesgen, and Stephen Marsland. Utilising temporal information in behaviour recognition. In AAAI Spring Symposium Special Session: It's All In the Timing, 2010. [ bib \| .pdf ]
[122]	Andrew Gilman, Donald Bailey, and Stephen Marsland. Least-squares optimal interpolation for fast image super-resolution. In International Symposium on Electronic Design, Test and Applications (DELTA), 2010. [ bib \| .pdf ]
[123]	Gareth van Essen, Stephen Marsland, and JP Lewis. Hierarchical block-based image registration for computing multiple image motions. In Proceedings of Image and Vision Computing, New Zealand (IVCNZ), 2009. [ bib \| .pdf ]
[124]	Andrew Gilman, Donald Bailey, and Stephen Marsland. Model-based least-squares optimal interpolation. In Proceedings of Image and Vision Computing, New Zealand (IVCNZ), 2009. [ bib \| .pdf ]
[125]	Sook-Ling Chua, Stephen Marsland, and Hans W. Guesgen. Behaviour recognition from sensory streams in smart environments. In Proceedings of the Australasian Joint Conference on Artificial Intelligence, 2009. [ bib \| .pdf ]
[126]	Sook-Ling Chua, Stephen Marsland, and Hans W. Guesgen. Spatio-temporal and context reasoning in smart homes. In Proceedings of the COSIT Workshop on Spatial and Temporal Reasoning for Ambient Intelligence Systems, 2009, 2009. [ bib \| .pdf ]
[127]	Rosanne Hawarden and Stephen Marsland. Who governs the governors: Politics, diversity, and change in the small world of a New Zealand director elite. In Academy of Management Annual Meeting, 2009. [ bib \| .pdf ]
[128]	Colin Rose, Stephen Marsland, and Don Law. Optimisation of the gas-exchange system of combustion engines by genetic algorithm. In 4th International Conference on Autonomous Robots and Agents, 2009. [ bib \| .pdf ]
[129]	Gary Allen, Bob Hodgson, Stephen Marsland, and John Flenley. Machine vision for automated optical recognition and classification of pollen grains or other singulated microscopic objects. In 15th International Conference on Mechatronics and Machine Vision in Practice, 2008. [ bib \| .pdf ]
[130]	Luofeng Xu, Stephen Marsland, and Ruili Wang. The influence of sampling on pattern support distribution. In Proceedings of IEEE 8th International Conference on Computer and Information Technology (CIT'08), 2008. [ bib \| .pdf ]
[131]	Andrew Gilman, Donald Bailey, and Stephen Marsland. Interpolation models for image super-resolution. In Proceedings of 4th IEEE International Symposium on Electronic Design, Test and Applications (DELTA) 2008, pages 55--60, 2008. [ bib \| .pdf ]
[132]	Gary Allen, Bob Hodgson, John Flenley, Stephen Marsland, Rory Flemmer, Greg Arnold, and David Fountain. An automated pollen recognition and counting system. In 17th International Union for Quaternary Research Congress, 2007. [ bib ]
[133]	Stephen Marsland and Robert I McLachlan. A Hamiltonian particle method for diffeomorphic image registration. In Proceedings of Information Processing in Medical Images, volume 4548 of Lecture Notes in Computer Science, pages 396--407. Springer, 2007. [ bib \| .pdf ]
[134]	Andrew Gilman, Donald Bailey, and Stephen Marsland. Noise characteristics of higher order predictive interpolation for sub-pixel registration. In Proceedings of the International Symposium on Signal Processing and Information Technology, pages 269--274, 2007. [ bib \| .pdf ]
[135]	Anna Mills, Stephen Marsland, and Tony Shardlow. Computing the geodesic interpolating spline. In JPW Pluim, B Likar, and FA Gerritsen, editors, Biomedical Image Registration, Third International Workshop (WBIR), number 4057 in Lecture Notes in Computer Science, pages 169--177, Berlin, Germany, 2006. Springer. [ bib \| .pdf ]
[136]	Carole Twining, Tim Cootes, Stephen Marsland, Vladimir Petrovic, Roy Schestowitz, and Chris Taylor. Information-theoretic unification of groupwise non-rigid registration and model building. In Proceedings of Medical Image Understanding and Analysis (MIUA), volume 2, pages 226--230, 2006. [ bib \| .pdf ]
[137]	Robert I McLachlan and Stephen Marsland. Discrete mechanics and optimal control for image registration. In Computational Techniques and Applications Conference (CTAC), 2006. [ bib ]
[138]	GP Allen, RM Hodgson, S Marsland, G Arnold, RC Flemmer, J Flenley, and DW Fountain. Automatic recognition of light microscope images of pollen. In Image and Vision Computing New Zealand, pages 355--360, 2006. [ bib \| .pdf ]
[139]	Carole Twining, Tim Cootes, Stephen Marsland, Roy Schestowitz, Vladimir Petrovic, and Chris Taylor. A unified information-theoretic approach to groupwise non-rigid registration and model building. In Gary Christensen and Milan Sonka, editors, 19th International Conference on Information Processing in Medical Images (IPMI'05), volume 3565 of Lecture Notes in Computer Science, pages 1--14. Springer, 2005. [ bib \| .pdf ]
[140]	Stephen Marsland and Carole Twining. A minimum description length objective function for groupwise non-rigid image registration. In Image and Vision Computing, New Zealand, pages 203--208, 2004. [ bib \| .pdf ]
[141]	Carole Twining, Stephen Marsland, and Chris Taylor. Groupwise non-rigid registration: The minimum description length approach. In British Machine Vision Conference, 2004. [ bib \| .pdf ]
[142]	Carole Twining, Stephen Marsland, and Chris Taylor. Groupwise non-rigid registration of medical images: The minimum description length approach. In Medical Image Analysis and Understanding, pages 81--84, 2004. [ bib \| .pdf ]
[143]	Stephen Marsland and Iain Buchan. Clinical quality needs complex adaptive systems and machine learning. In Proceedings of the International Conference on Medical Informatics, pages 644--647, 2004. [ bib \| .pdf ]
[144]	Carole Twining and Stephen Marsland. A unified information-theoretic approach to the correspondence problem in image registration. In International Conference on Pattern Recognition, volume 3, pages 704--709, 2004. [ bib \| .pdf ]
[145]	Tim Cootes, Stephen Marsland, Carole Twining, Kate Smith, and Chris Taylor. Groupwise diffeomorphic non-rigid registration for automatic model building. In Proceedings of the European Conference on Computer Vision, volume 3024 of Lecture Notes in Computer Science, pages 316--327. Springer, 2004. [ bib \| .pdf ]
[146]	Stephen Marsland, Carole Twining, and Chris Taylor. Groupwise non-rigid registration using polyharmonic clamped-plate splines. In Medical Image Computing and Computer-Aided Intervention (MICCAI), number 2879 in Lecture Notes in Computer Science, pages 771--779. Springer, 2003. [ bib \| .pdf ]
[147]	Stephen Marsland and Carole Twining. Constructing data-driven optimal representations for iterative pairwise non-rigid registration. In Second International Workshop on Biomedical Image Registration, number 2717 in Lecture Notes in Computer Science, pages 50--60. Springer, 2003. [ bib \| .pdf ]
[148]	Carole Twining and Stephen Marsland. A non-euclidean metric for the classification of variations in medical images. In Medical Image Understanding and Analysis, 2003. [ bib \| .pdf ]
[149]	Carole Twining and Stephen Marsland. Groupwise and local analysis of image warps. In 22nd Leeds Annual Statistics Workshop, 2003. [ bib \| .pdf ]
[150]	Jason Fleischer, Stephen Marsland, and Jonathan Shapiro. Sensory anticipation for autonomous selection of robot landmarks. In Proceedings of the Workshop on Adaptive Behavior in Anticipatory Learning Systems, volume 2684 of Lecture Notes in Artificial Intelligence, pages 201--221. Springer, 2003. [ bib \| .pdf ]
[151]	Carole Twining and Stephen Marsland. Constructing diffeomorphic representations of non-rigid registrations of medical images. In Information Processing in Medical Images (IPMI), volume 2732 of Lecture Notes in Computer Science, pages 413--425. Springer, 2003. [ bib \| .pdf ]
[152]	Carole Twining, Stephen Marsland, and Chris Taylor. Measuring geodesic distances on the space of bounded diffeomorphisms. In British Machine Vision Conference (BMVC), pages 847--856, 2002. [ bib \| .pdf ]
[153]	Stephen Marsland and Carole Twining. Clamped-plate splines and the optimal flow of bounded diffeomorphisms. In 21st Leeds Annual Statistics Workshop, 2002. [ bib \| .pdf ]
[154]	Stephen Marsland, Ulrich Nehmzow, and Jonathan Shapiro. Environment-specific novelty detection. In From Animals to Animats, the 7th International Conference on Simulation of Adaptive Behaviour, pages 36--45, 2002. [ bib \| .pdf ]
[155]	Jason Fleischer and Stephen Marsland. Learning to autonomously select landmarks for navigation and communication. In From Animals to Animats, the 7th International Conference on Simulation of Adaptive Behaviour, pages 151--160, 2002. [ bib \| .pdf ]
[156]	Paul Crook, Stephen Marsland, Gillian Hayes, and Ulrich Nehmzow. A tale of two filters - on-line novelty detection. In Proceedings of International Conference on Robotics and Automations (ICRA'02), pages 3894--3900, 2002. [ bib \| .pdf ]
[157]	Stephen Marsland, Ulrich Nehmzow, and Jonathan Shapiro. Vision-based environmental novelty detection on a mobile robot. In Proceedings of the International Conference on Neural Information Processing (ICONIP'01), volume 1, pages 69--76, 2001. [ bib \| .pdf ]
[158]	Tom Duckett, Marsland Stephen, and Jonathan Shapiro. Simultaneous localization and mapping - a new algorithm for a compass-equipped mobile robot. In Proceedings of the IJCAI-2001 Workshop on Reasoning with Uncertainty in Robotics, 2001. [ bib \| .html ]
[159]	Stephen Marsland, Ulrich Nehmzow, and Jonathan Shapiro. Novelty detection for robot neotaxis. In Proceedings of the 2nd International Symposium on Neural Compuatation (NC'2000), pages 554 -- 559, 2000. [ bib \| .pdf ]
[160]	Stephen Marsland, Ulrich Nehmzow, and Jonathan Shapiro. A real-time novelty detector for a mobile robot. In Proceedings of the EUREL Conference on Advanced Robotics Systems, 2000. [ bib \| .pdf ]
[161]	Stephen Marsland, Ulrich Nehmzow, and Jonathan Shapiro. Novelty detection on a mobile robot using habituation. In From Animals to Animats: The 6th International Conference on Simulation of Adaptive Behaviour, 2000. [ bib \| .pdf ]
[162]	Stephen Marsland and Ulrich Nehmzow. Selecting landmarks from sonar scans for mobile robot navigation. Technical Report UMCS-00-8-1, Department of Computer Science, University of Manchester, 2000. [ bib \| .pdf ]
[163]	Tom Duckett, Stephen Marsland, and Jonathan Shapiro. Learning globally consistent maps by relaxation. In Proceedings of the International Conference on Robotics and Automation (ICRA'2000), pages 3841 -- 3846, 2000. [ bib \| .ps.Z ]
[164]	Stephen Marsland, Ulrich Nehmzow, and Jonathan Shapiro. A model of habituation applied to mobile robots. In Proceedings of TIMR 99, Towards Intelligent Mobile Robots, Bristol. Department of Computer Science, Manchester University, Technical Report Series, ISSN 1361-6161, Report UMCS-99-3-1, 1999. [ bib \| .pdf ]

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