Stephen R. Marsland

发表

Using Spatio-Temporal Anomalies to Detect Abnormal Behaviour in Smart Homes

Hans W. Guesgen, Richard J. Whiddett, Inga M. Hunter, 2018, FLAIRS.

Modelling Spatial and Temporal Context to Support Activity Recognition

Hans W. Guesgen, Stephen R. Marsland, 2017, State of the Art in AI Applied to Ambient Intelligence.

Spatio-Temporal Footprints

Hans W. Guesgen, Stephen R. Marsland, H. Guesgen, 2010, Int. J. Ambient Comput. Intell..

Utilising Temporal Information in Behaviour Recognition

Hans W. Guesgen, Stephen R. Marsland, H. Joe Steinhauer, 2010, AAAI Spring Symposium: It's All in the Timing.

The role of grouping in sketched diagram recognition

Beryl Plimmer, Hans W. Guesgen, Stephen R. Marsland, 2018, Expressive.

A self-organising network that grows when required

Stephen R. Marsland, Jonathan L. Shapiro, Ulrich Nehmzow, 2002, Neural Networks.

Improving Predictive Specificity of Description Logic Learners by Fortification

Hans W. Guesgen, Stephen R. Marsland, Jens Dietrich, 2013, ACML.

Foreword: special issue for the journal track of the 8th Asian conference on machine learning (ACML 2016)

Kee-Eung Kim, Zhi-Hua Zhou, Masashi Sugiyama, 2017, Machine Learning.

Principal Autoparallel Analysis: Data Analysis in Weitzenböck Space pdf

Stephen R. Marsland, Carole J. Twining, 2015, ArXiv.

On-line novelty detection for autonomous mobile robots

Stephen R. Marsland, Jonathan L. Shapiro, Ulrich Nehmzow, 2005, Robotics Auton. Syst..

A unified information-theoretic approach to the correspondence problem in image registration

Stephen R. Marsland, Christopher J. Taylor, Carole J. Twining, 2004, Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004..

Möbius invariants of shapes and images pdf

Stephen R. Marsland, Robert I. McLachlan, 2016, ArXiv.

Constrained Switching in Graphs: A Constructive Proof

Stephen R. Marsland, Catherine McCartin, Callum Lowcay, 2013, 2013 International Conference on Signal-Image Technology & Internet-Based Systems.

A Unified Information-Theoretic Approach to Groupwise Non-rigid Registration and Model Building

Timothy F. Cootes, Stephen R. Marsland, Christopher J. Taylor, 2005, IPMI.

Least-squares Optimal Interpolation for Fast Image Super-resolution

Stephen R. Marsland, Donald G. Bailey, Andrew Gilman, 2010, 2010 Fifth IEEE International Symposium on Electronic Design, Test & Applications.

Constructing Diffeomorphic Representations of Non-rigid Registrations of Medical Images

Stephen R. Marsland, Carole J. Twining, 2003, IPMI.

An Approach to Parallel Class Expression Learning

Hans W. Guesgen, Stephen R. Marsland, Jens Dietrich, 2012, RuleML.

A tale of two filters-on-line novelty detection

Stephen R. Marsland, Paul A. Crook, Ulrich Nehmzow, 2002, Proceedings 2002 IEEE International Conference on Robotics and Automation (Cat. No.02CH37292).

Segmentation of harmonic syllables in noisy recordings of bird vocalisations

Stephen R. Marsland, Andrew Gilman, Yukio Fukuzawa, 2016, 2016 International Conference on Image and Vision Computing New Zealand (IVCNZ).

Learning globally consistent maps by relaxation

Stephen R. Marsland, Tom Duckett, Jonathan L. Shapiro, 2000, Proceedings 2000 ICRA. Millennium Conference. IEEE International Conference on Robotics and Automation. Symposia Proceedings (Cat. No.00CH37065).

Metrics, Connections, and Correspondence: The Setting for Groupwise Shape Analysis

Stephen R. Marsland, Christopher J. Taylor, Carole J. Twining, 2011, EMMCVPR.

Computational Analysis of Emotion Dynamics

Hans W. Guesgen, Stephen R. Marsland, Ayesha Hakim, 2013, 2013 Humaine Association Conference on Affective Computing and Intelligent Interaction.

Interpolation Models for Image Super-resolution

Stephen R. Marsland, Donald G. Bailey, Andrew Gilman, 2008, 4th IEEE International Symposium on Electronic Design, Test and Applications (delta 2008).

Clinical Quality Needs Complex Adaptive Systems and Machine Learning

Stephen R. Marsland, Iain E. Buchan, I. Buchan, 2004, MedInfo.

Constructing Data-Driven Optimal Representations for Iterative Pairwise Non-rigid Registration

Stephen R. Marsland, Carole J. Twining, 2003, WBIR.

Groupwise Non-rigid Registration Using Polyharmonic Clamped-Plate Splines

Stephen R. Marsland, Christopher J. Taylor, Carole J. Twining, 2003, MICCAI.

Computing the Geodesic Interpolating Spline

Stephen R. Marsland, Tony Shardlow, Anna Mills, 2006, WBIR.

K-Bit-Swap: a new operator for real-coded evolutionary algorithms

Stephen R. Marsland, Aram Ter-Sarkisov, S. Marsland, 2016, Soft Computing.

Optimisation of the gas-exchange system of combustion engines by Genetic Algorithm

Stephen R. Marsland, Don Law, Colin D. Rose, 2000, 2009 4th International Conference on Autonomous Robots and Agents.

Groupwise Diffeomorphic Non-rigid Registration for Automatic Model Building

Timothy F. Cootes, Stephen R. Marsland, Christopher J. Taylor, 2004, ECCV.

Machine Learning - An Algorithmic Perspective

Stephen R. Marsland, S. Marsland, 2009, Chapman and Hall / CRC machine learning and pattern recognition series.

Towards a monitoring smart home for the elderly: One experience in retrofitting a sensor network into an existing home

Stephen R. Marsland, Debraj Basu, Gourab Sen Gupta, 2013, J. Ambient Intell. Smart Environ..

Data analysis in Weitzenbock space

Stephen R. Marsland, Carole J. Twining, 2017, 2017 International Joint Conference on Neural Networks (IJCNN).

Network Parameters in Practice: A Case Study Using the Target Set Selection Problem

Stephen R. Marsland, Catherine McCartin, Callum Lowcay, 2013, 2013 International Conference on Signal-Image Technology & Internet-Based Systems.

The K-bit-swap: a new genetic algorithm operator

Stephen R. Marsland, Barbara R. Holland, Aram Ter-Sarkisov, 2010, GECCO '10.

Fast, On-Line Learning of Globally Consistent Maps

Stephen R. Marsland, Tom Duckett, Jonathan L. Shapiro, 2002, Auton. Robots.

A supervised learning approach for behaviour recognition in smart homes

Hans W. Guesgen, Stephen R. Marsland, Sook-Ling Chua, 2016, J. Ambient Intell. Smart Environ..

A Reliable Hybrid Technique for Human Face Detection

Hans W. Guesgen, Stephen R. Marsland, Ayesha Hakim, 2010, VISAPP.

Performance Regression Testing on the Java Virtual Machine Using Statistical Test Oracles

Stephen R. Marsland, Jens Dietrich, Fergus Hewson, 2015, 2015 24th Australasian Software Engineering Conference.

Sensory Anticipation for Autonomous Selection of Robot Landmarks

Stephen R. Marsland, Jonathan L. Shapiro, Jason Fleischer, 2003, ABiALS.

Interpreting Observed Action (Dagstuhl Seminar 12491)

Hans W. Guesgen, Stephen R. Marsland, Joachim Hertzberg, 2012, Dagstuhl Reports.

Use Cases for Abnormal Behaviour Detection in Smart Homes

Hans W. Guesgen, Stephen R. Marsland, Jens Dietrich, 2010, ICOST.

Unsupervised Learning of Human Behaviours

Hans W. Guesgen, Stephen R. Marsland, Sook-Ling Chua, 2011, AAAI.

Convergence of a Recombination-Based Elitist Evolutionary Algorithm on the Royal Roads Test Function pdf

Stephen R. Marsland, Aram Ter-Sarkisov, S. Marsland, 2011, Australasian Conference on Artificial Intelligence.

Novelty Detection for Robot Neotaxis

Stephen R. Marsland, Jonathan L. Shapiro, Ulrich Nehmzow, 2000, ArXiv.

Unsupervised Learning of Patterns in Data Streams Using Compression and Edit Distance

Hans W. Guesgen, Stephen R. Marsland, Sook-Ling Chua, 2011, IJCAI.

Two-way Parallel Class Expression Learning

Hans W. Guesgen, Stephen R. Marsland, Jens Dietrich, 2012, ACML.

A Hamiltonian Particle Method for Diffeomorphic Image Registration

Stephen R. Marsland, Robert I. McLachlan, R. McLachlan, 2007, IPMI.

Convergence Properties of Two (μ+λ) Evolutionary Algorithms on OneMax and Royal Roads Test Functions

Stephen R. Marsland, Aram Ter-Sarkisov, 2011, IJCCI.

A Real-Time Novelty Detector for a Mobile Robot

Stephen R. Marsland, Jonathan L. Shapiro, Ulrich Nehmzow, 2000, ArXiv.

Learning to select distinctive landmarks for mobile robot navigation

Stephen R. Marsland, Tom Duckett, Ulrich Nehmzow, 2001, Robotics Auton. Syst..

Parallel Symmetric Class Expression Learning

Hans W. Guesgen, Stephen R. Marsland, Jens Dietrich, 2017, J. Mach. Learn. Res..

Constructing diffeomorphic representations for the groupwise analysis of nonrigid registrations of medical images

Stephen R. Marsland, Carole J. Twining, C. Twining, 2004, IEEE Transactions on Medical Imaging.

An Approach to Numeric Refinement in Description Logic Learning for Learning Activities Duration in Smart Homes

Hans W. Guesgen, Stephen R. Marsland, Jens Dietrich, 2013, AAAI Workshop: Space, Time, and Ambient Intelligence.

Measuring Geodesic Distances on the Space of Bounded Diffeomorphisms

Stephen R. Marsland, Christopher J. Taylor, Carole J. Twining, 2002, BMVC.

Model and feature selection for the classification of dark field pollen images using the classifynder system

Stephen R. Marsland, Donald G. Bailey, Robert M. Hodgson, 2017, 2017 International Conference on Image and Vision Computing New Zealand (IVCNZ).

Revisiting the size effect in software fault prediction models

Amjed Tahir, Stephen R. Marsland, Stephen G. MacDonell, 2018, ESEM.

An exemplar-based learning approach for detection and classification of malicious network streams in honeynets

Stephen R. Marsland, Giovanni Moretti, Richard J. Harris, 2014, Secur. Commun. Networks.

An empirical study into component system evolution

Hans W. Guesgen, Stephen R. Marsland, Jens Dietrich, 2011, CBSE '11.

Geodesic Warps by Conformal Mappings

Stephen R. Marsland, Robert I. McLachlan, Klas Modin, 2012, International Journal of Computer Vision.

A robust joint face model for human emotion recognition

Hans W. Guesgen, Stephen R. Marsland, Ayesha Hakim, 2012, IVCNZ '12.

The Kelvin-Helmholtz Instability of Momentum Sheets in the Euler Equations for Planar Diffeomorphisms

Stephen R. Marsland, Robert I. McLachlan, 2006, SIAM J. Appl. Dyn. Syst..

A Learning Approach for Ill-Posed Optimisation Problems

Stephen R. Marsland, Jörg Frochte, 2019, AusDM.

Exploring the responsibilities of single-inhabitant Smart Homes with Use Cases

Hans W. Guesgen, Stephen R. Marsland, Jens Dietrich, 2010, J. Ambient Intell. Smart Environ..

On the Shape of Circular Dependencies in Java Programs

Stephen R. Marsland, Catherine McCartin, Jens Dietrich, 2014, 2014 23rd Australian Software Engineering Conference.

Convergence Properties of (μ + λ) Evolutionary Algorithms

Stephen R. Marsland, Aram Ter-Sarkisov, S. Marsland, 2011, AAAI.

Behaviour Recognition from Sensory Streams in Smart Environments

Hans W. Guesgen, Stephen R. Marsland, Sook-Ling Chua, 2009, Australasian Conference on Artificial Intelligence.

Groupwise Non-Rigid Registration: The Minimum Description Length Approach

Stephen R. Marsland, Christopher J. Taylor, Carole J. Twining, 2004, BMVC.

Behaviour Recognition in Smart Homes

Hans W. Guesgen, Stephen R. Marsland, Sook-Ling Chua, 2011, IJCAI.

Langevin Equations for Landmark Image Registration with Uncertainty

Stephen R. Marsland, Tony Shardlow, S. Marsland, 2016, SIAM J. Imaging Sci..

Network parameters and heuristics in practice: a case study using the target set selection problem

Stephen R. Marsland, Catherine McCartin, Callum Lowcay, 2014, J. Complex Networks.

Context Awareness for a Smart Environment Utilizing Context Maps and Dempster-Shafer Theory

Hans W. Guesgen, Stephen R. Marsland, H. Joe Steinhauer, 2012, ICOST.

From Object Recognition to Activity Interpretation and Back, Based on Point Cloud Data

Hans W. Guesgen, Stephen R. Marsland, Joachim Hertzberg, 2013, KI - Künstliche Intelligenz.

Spatio-Temporal Reasoning and Context Awareness

Hans W. Guesgen, Stephen R. Marsland, H. Guesgen, 2010, Handbook of Ambient Intelligence and Smart Environments.

Machine Learning

Stephen R. Marsland, 2014, Encyclopedia of Social Network Analysis and Mining.

Statistical Modelling of Complex Emotions Using Mixture of Von Mises Distributions

Hans W. Guesgen, Stephen R. Marsland, Ayesha Hakim, 2013, 2013 Humaine Association Conference on Affective Computing and Intelligent Interaction.

Beat: a tool for visualizing the execution of object orientated concurrent programs

Stephen R. Marsland, Paul Johnson, 2010, SOFTVIS '10.

A minimum description length objective function for groupwise non-rigid image registration

Stephen R. Marsland, Christopher J. Taylor, Carole J. Twining, 2008, Image Vis. Comput..

Analysing 'Simple' Image Registrations

Stephen R. Marsland, Robert I. McLachlan, Raziyeh Zarre, 2021, J. Math. Imaging Vis..

Using Contextual Information for Recognising Human Behaviour

Hans W. Guesgen, Stephen R. Marsland, H. Guesgen, 2016, Int. J. Ambient Comput. Intell..