Dr Richard Davis

Selected publications

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Journals

  • Davis, R., Lovell, B. (2003). Comparing and evaluating HMM ensemble training algorithms using train and test and condition number criteria. Pattern Analysis and Applications, 6(4), 327-336. [More Information]
  • Davis, R., Delbourgo, R., Jarvis, P. (2000). Integrity bases for local invariants of composite quantum systems (Addendum). Journal of Physics A: Mathematical and General, 33(19), 3723-3725.
  • Davis, R., Delbourgo, R., Jarvis, P. (2000). Quantum covariance and entanglement. Journal of Physics A: Mathematical and General, 33(9), 1895-1914. [More Information]

Conferences

  • de Silva, A., Noorian, F., Davis, R., Leong, P. (2013). A Hybrid Feature Selection and Generation Algorithm for Electricity Load Prediction using Grammatical Evolution. 2013 12th International Conference on Machine Learning and Applications, ICMLA 2013, Piscataway, NJ, USA: (IEEE) Institute of Electrical and Electronics Engineers. [More Information]
  • Liu, N., Davis, R., Lovell, B., Kootsookos, P. (2004). Effect of initial HMM choices in multiple sequence training for gesture recognition. International Conference on Information Technology: Coding and Computing 2004 (ITCC 2004), Los Alamitos, California: (IEEE) Institute of Electrical and Electronics Engineers.
  • Liu, N., Lovell, B., Kootsookos, P., Davis, R. (2004). Model structure selection and training algorithms for a HMM gesture recogniser. 9th International Workshop in Frontiers of Handwriting Recognition, Los Alamitos, California: (IEEE) Institute of Electrical and Electronics Engineers.
  • Liu, N., Lovell, B., Kootsookos, P., Davis, R. (2004). Understanding HMM training for video gesture recognition. 2004 IEEE Region 10 Conference (TENCON 2004), Changmai, Thailand: IEEE Xplore.
  • Davis, R., Lovell, B. (2003). Improved ensemble training for hidden Markov models using random relative node permutations. 2003 APRS Workshop on Digital Image Computing, Brisbane: Australian Pattern Recognition Society.
  • Howlett, M., Nguyen, T., Davis, R. (2002). A 3-channel biorthogonal filter bank construction based on predict and update lifting steps. 4th Australasian Workshop on Signal Processing and Applications 2002, Brisbane, Australia: Queensland University of Technology.
  • Davis, R., Walder, C., Lovell, B. (2002). Improved classification using hidden Markov averaging from multiple observation sequences. 4th Australasian Workshop on Signal Processing and Applications 2002, Brisbane, Australia: Queensland University of Technology.
  • Davis, R., Lovell, B., Caelli, T. (2002). Improved estimation of hidden Markov model parameters from multiple observation sequences. 16th International Conference on Pattern Recognition, Quebec, Canada: (IEEE) Institute of Electrical and Electronics Engineers.

2013

  • de Silva, A., Noorian, F., Davis, R., Leong, P. (2013). A Hybrid Feature Selection and Generation Algorithm for Electricity Load Prediction using Grammatical Evolution. 2013 12th International Conference on Machine Learning and Applications, ICMLA 2013, Piscataway, NJ, USA: (IEEE) Institute of Electrical and Electronics Engineers. [More Information]

2004

  • Liu, N., Davis, R., Lovell, B., Kootsookos, P. (2004). Effect of initial HMM choices in multiple sequence training for gesture recognition. International Conference on Information Technology: Coding and Computing 2004 (ITCC 2004), Los Alamitos, California: (IEEE) Institute of Electrical and Electronics Engineers.
  • Liu, N., Lovell, B., Kootsookos, P., Davis, R. (2004). Model structure selection and training algorithms for a HMM gesture recogniser. 9th International Workshop in Frontiers of Handwriting Recognition, Los Alamitos, California: (IEEE) Institute of Electrical and Electronics Engineers.
  • Liu, N., Lovell, B., Kootsookos, P., Davis, R. (2004). Understanding HMM training for video gesture recognition. 2004 IEEE Region 10 Conference (TENCON 2004), Changmai, Thailand: IEEE Xplore.

2003

  • Davis, R., Lovell, B. (2003). Comparing and evaluating HMM ensemble training algorithms using train and test and condition number criteria. Pattern Analysis and Applications, 6(4), 327-336. [More Information]
  • Davis, R., Lovell, B. (2003). Improved ensemble training for hidden Markov models using random relative node permutations. 2003 APRS Workshop on Digital Image Computing, Brisbane: Australian Pattern Recognition Society.

2002

  • Howlett, M., Nguyen, T., Davis, R. (2002). A 3-channel biorthogonal filter bank construction based on predict and update lifting steps. 4th Australasian Workshop on Signal Processing and Applications 2002, Brisbane, Australia: Queensland University of Technology.
  • Davis, R., Walder, C., Lovell, B. (2002). Improved classification using hidden Markov averaging from multiple observation sequences. 4th Australasian Workshop on Signal Processing and Applications 2002, Brisbane, Australia: Queensland University of Technology.
  • Davis, R., Lovell, B., Caelli, T. (2002). Improved estimation of hidden Markov model parameters from multiple observation sequences. 16th International Conference on Pattern Recognition, Quebec, Canada: (IEEE) Institute of Electrical and Electronics Engineers.

2000

  • Davis, R., Delbourgo, R., Jarvis, P. (2000). Integrity bases for local invariants of composite quantum systems (Addendum). Journal of Physics A: Mathematical and General, 33(19), 3723-3725.
  • Davis, R., Delbourgo, R., Jarvis, P. (2000). Quantum covariance and entanglement. Journal of Physics A: Mathematical and General, 33(9), 1895-1914. [More Information]

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