Shilton, A

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Number of items: 13.
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Article

Shilton, A, Lai, Daniel ORCID: 0000-0003-3459-7709, Santhiranayagam, Braveena K and Palaniswami, M (2012) A Note on Octonionic Support Vector Regression. IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics, 42 (3). pp. 950-955. ISSN 1083-4419 (print) 1941-0492 (online)

Shilton, A, Lai, Daniel ORCID: 0000-0003-3459-7709 and Palaniswami, M (2010) A Division Algebraic Framework for Multidimensional Support Vector Regression. IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics, 40 (2). pp. 517-528. ISSN 1083-4419

Shilton, A, Lai, Daniel ORCID: 0000-0003-3459-7709 and Palaniswami, M (2009) A Division Algebraic Framework for Multidimensional Support Vector Regression. IEEE Transactions on Systems, Man and Cybernetics Part B, 40 (2). pp. 517-528. ISSN 1083-4419

Book Section

Pendhaker, G, Lai, Daniel ORCID: 0000-0003-3459-7709, Shilton, A and Polman, Remco (2011) The Challenges of Monitoring Physical Activity in Children with Wearable Sensor Technologies. In: Healthcare Sensor Networks: Challenges Toward Practical Implementation. Lai, Daniel, Palaniswami, M and Begg, Rezaul, eds. CRC Press, Boca Raton, FL, pp. 221-246.

Santhiranayagam, Braveena K, Lai, Daniel ORCID: 0000-0003-3459-7709, Shilton, A, Begg, Rezaul ORCID: 0000-0002-3195-8591 and Palaniswami, M (2011) Regression Models for Estimating Gait Parameters Using Inertial Sensors. In: 2011 Seventh International Conference on Intelligent Sensors, Sensor Networks and Information Processing (ISSNIP 2011). IEEE, United States, pp. 46-51.

Lai, Daniel ORCID: 0000-0003-3459-7709, Shilton, A and Begg, Rezaul ORCID: 0000-0002-3195-8591 (2010) On the feasibility of learning to predict minimum toe clearance under different walking speeds. In: EMBC 2010 : Proceedings of the 32nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society : "Merging Medical Humanism and Technology" : August 31 - September 4, 2010, Buenos Aires Sheraton Hotel, Buenos Aires, Argentina. IEEE, Piscataway, N.J., pp. 4890-4893.

Conference or Workshop Item

Santhiranayagam, Braveena K, Lai, Daniel ORCID: 0000-0003-3459-7709, Shilton, A, Begg, Rezaul ORCID: 0000-0002-3195-8591 and Palaniswami, M (2013) Autonomous detection of different walking tasks using end point foot trajectory vertical displacement data. In: 2013 IEEE Eight International Conference on Intelligent Sensors, Sensor Networks and Information Processing, 02 April 2014-05 April 2014, Melbourne, VIC.

Shilton, A, Lai, Daniel ORCID: 0000-0003-3459-7709 and Palaniswami, M (2012) The conic-segmentation support vector machine - A target space method for multiclass classification. In: IEEE World Congress on Computational Intelligence, 10 June 2012-15 June 2012, Brisbane, Queensland.

Lai, Daniel ORCID: 0000-0003-3459-7709, Shilton, A, Charry, E, Begg, Rezaul ORCID: 0000-0002-3195-8591 and Palaniswami, M (2009) A machine learning approach to k-step look-ahead prediction of gait variables from acceleration data. In: 31st Annual International Conference of the IEEE - Engineering in Medicine and Biology Society (EMBS), 02 September 2009-06 September 2009, Minneapolis, Minnesota.

Shilton, A and Lai, Daniel ORCID: 0000-0003-3459-7709 (2007) Iterative fuzzy support vector machine classification. In: IEEE International Fuzzy Systems Conference (FUZZ-IEEE 2007), 23 July 2007-26 July 2007, London.

Shilton, A and Lai, Daniel ORCID: 0000-0003-3459-7709 (2007) Quaternionic and complex-valued support vector regression for equalization and function approximation. In: International Joint Conference on Neural Networks (IJCNN 2007), 12 August 2007-17 August 2007, Orlando, Florida.

Lai, Daniel ORCID: 0000-0003-3459-7709, Shilton, A, Mani, N and Palaniswami, M (2005) A convergence rate estimate for the SVM decomposition method. In: IEEE International Joint Conference on Neural Networks (2005 IJCNN), 31 July 2005-04 August 2005, Montreal, Canada.

Lai, Daniel ORCID: 0000-0003-3459-7709, Shilton, A, Mani, N and Palaniswami, M (2005) Stability analysis of the decomposition method for solving support vector machines. In: International Conference on Intelligent Sensing and Information Processing (ICISIP 2005), 04 January 2005-07 January 2005, Chennai, India.