3D Image segmentation and shape characterisation driven by topological persistence. Tomographic imaging is emerging as a new tool to help tackle a remarkable array of scientific challenges. What distinguishes healthy bone from that of osteoporosis sufferers? How does groundwater contamination spread? Why is a macadamia nut so hard to crack? What causes the iridescence in a butterfly wing? These are just a few of the questions being answered at tomographic facilities in Australia alone. By co ....3D Image segmentation and shape characterisation driven by topological persistence. Tomographic imaging is emerging as a new tool to help tackle a remarkable array of scientific challenges. What distinguishes healthy bone from that of osteoporosis sufferers? How does groundwater contamination spread? Why is a macadamia nut so hard to crack? What causes the iridescence in a butterfly wing? These are just a few of the questions being answered at tomographic facilities in Australia alone. By combining sophisticated mathematics with cutting edge image-processing algorithms, this project will yield a new class of topology driven image analysis techniques that will improve the accuracy and reliability of predictions made from tomographic images.Read moreRead less
Automated Determination of the Pose of a Human from Visual Information - Markerless 3D Pose Recovery of Humans from Videos. The development of 3D human pose recovery has been sought by computer vision researchers for many years. Our results will, firstly, have benefit for Australia's standing in the international computer vision community. Over time, the research outcomes will be developed into a software product for rehabilitation analysis by recognizing discrepancies between the walking pat ....Automated Determination of the Pose of a Human from Visual Information - Markerless 3D Pose Recovery of Humans from Videos. The development of 3D human pose recovery has been sought by computer vision researchers for many years. Our results will, firstly, have benefit for Australia's standing in the international computer vision community. Over time, the research outcomes will be developed into a software product for rehabilitation analysis by recognizing discrepancies between the walking patterns of healthy individuals and those with abnormalities as a result of accidents or diseases. The Australian economy will benefit by the reduction in the lifetime cost of injuries. This software will also provide benefits to the movie animation, computer games industry, and the training of athletes.Read moreRead less
Parallel and Distributed Machine Learning - Smart Data Analysis in the Multicore Era. In large data centres our research will lead to reduced energy consumption by using graphics cards which have a much better computation to power ratio than traditional processors. On desktop computers, it will make machine learning practical by enabling efficient algorithms for spam filtering and content analysis. On networked systems it will lead to distributed inference, caching and collaborative filtering ap ....Parallel and Distributed Machine Learning - Smart Data Analysis in the Multicore Era. In large data centres our research will lead to reduced energy consumption by using graphics cards which have a much better computation to power ratio than traditional processors. On desktop computers, it will make machine learning practical by enabling efficient algorithms for spam filtering and content analysis. On networked systems it will lead to distributed inference, caching and collaborative filtering applications which will both reduced the bandwidth required and make the internet safer for users. Finally, it will enable rapid deployment of sensor networks for monitoring and detection, such as for environmental monitoring and safeguarding Australia's borders.Read moreRead less
Bayesian inference for complex regression models using mixtures. The project will use mixtures to flexibly model complex regression functions and will develop Bayesian methods for carrying out statistical inference on these models. The models will deal with both Gaussian and non-Gaussian data. Multiple explanatory variables are dealt with by mixing simple additives to produce flexible high dimensional function estimates. Variable selection and model averaging will be used to identify important v ....Bayesian inference for complex regression models using mixtures. The project will use mixtures to flexibly model complex regression functions and will develop Bayesian methods for carrying out statistical inference on these models. The models will deal with both Gaussian and non-Gaussian data. Multiple explanatory variables are dealt with by mixing simple additives to produce flexible high dimensional function estimates. Variable selection and model averaging will be used to identify important variables and thus make the estimation more efficient. The methods will be extended to multivariate responses where account will taken be taken of the structure of the dependence between responses.Read moreRead less
Non-invasive assessment of hip fracture risk in elderly people. No falls, no fractures - this will be the main benefit of the proposed research. The most significant outcome will be new computational tools to improve current understanding of the biomechanics of falls and bone fragility in elderly people, which, in turn, will help to reduce healthcare costs associated with the treatment and management of hip fractures. Realistic models and computer simulations of human movement can play a pivota ....Non-invasive assessment of hip fracture risk in elderly people. No falls, no fractures - this will be the main benefit of the proposed research. The most significant outcome will be new computational tools to improve current understanding of the biomechanics of falls and bone fragility in elderly people, which, in turn, will help to reduce healthcare costs associated with the treatment and management of hip fractures. Realistic models and computer simulations of human movement can play a pivotal role in three of Australia's largest industries: healthcare, through the diagnosis and treatment of movement disorders; sports, through the development of personalized training programs for elite athletes; and entertainment, through the development of video/digital games and animated films.Read moreRead less
A Control Systems Approach for Understanding Human Locomotion. This proposal addresses fundamental, difficult questions in the context of human movement: How do muscles move our limbs during walking? How do the nervous system and muscles work together to control movement? Realistic computer simulations of human movement can help answer these questions and, in so doing, can play a pivotal role in three of Australia's largest industries: healthcare, through clinical gait analysis and gait rehabili ....A Control Systems Approach for Understanding Human Locomotion. This proposal addresses fundamental, difficult questions in the context of human movement: How do muscles move our limbs during walking? How do the nervous system and muscles work together to control movement? Realistic computer simulations of human movement can help answer these questions and, in so doing, can play a pivotal role in three of Australia's largest industries: healthcare, through clinical gait analysis and gait rehabilitation (diagnosis and treatment of movement disorders); sports, through the development of personalized training programs for elite athletes; and entertainment, through the development of video/digital games and animated films (creation of virtual life-like actors).Read moreRead less
Patient-specific computational tools for evaluating functional performance of total knee replacements in vivo. Knee replacement surgery is the established treatment for end-stage osteoarthritis. This proposal addresses one of the most fundamental questions related to knee replacement surgery: Why do total knee replacements fail? High-fidelity, patient-specific computer simulations of walking can help to answer this question and, in so doing, can improve the functional performance and longevity o ....Patient-specific computational tools for evaluating functional performance of total knee replacements in vivo. Knee replacement surgery is the established treatment for end-stage osteoarthritis. This proposal addresses one of the most fundamental questions related to knee replacement surgery: Why do total knee replacements fail? High-fidelity, patient-specific computer simulations of walking can help to answer this question and, in so doing, can improve the functional performance and longevity of current knee implant designs. Realistic computer simulations of human movement also can play a pivotal role in healthcare through patient rehabilitation; in sports, through the development of personalized training programs for elite athletes; and in entertainment, through the creation of video games and animated films.Read moreRead less
From Universal Induction to Intelligent Systems. The dream of creating artificial devices that (out)reach human intelligence is an old one. What makes this challenge so interesting? A solution would have enormous implications for our society, and there are arguments that the AI problem might be solved within a couple of decades. Specialized intelligent systems are actually already pervasive (finger print, handwriting, speech, and face recognition; spam filtering; search engines; computer chess; ....From Universal Induction to Intelligent Systems. The dream of creating artificial devices that (out)reach human intelligence is an old one. What makes this challenge so interesting? A solution would have enormous implications for our society, and there are arguments that the AI problem might be solved within a couple of decades. Specialized intelligent systems are actually already pervasive (finger print, handwriting, speech, and face recognition; spam filtering; search engines; computer chess; robots). This decade the first presumably complete mathematical theory of AI has been proposed. By working out this theory, this project will significantly contribute to the foundations of inductive inference and AI, and ultimately lead to smarter software and intelligent systems.Read moreRead less
Synchrotrons, wavelet analysis and novel imaging techniques - applying physics tools to the war against breast cancer. Breast cancer leads to the second highest number of person-years of life lost due to cancer in Australia, with little known about its transport around the body. Current screening methods for breast cancer are neither 100% sensitive or specific and are heavily dependent upon expert training. This project will contribute by yielding valuable information on the transport of breast ....Synchrotrons, wavelet analysis and novel imaging techniques - applying physics tools to the war against breast cancer. Breast cancer leads to the second highest number of person-years of life lost due to cancer in Australia, with little known about its transport around the body. Current screening methods for breast cancer are neither 100% sensitive or specific and are heavily dependent upon expert training. This project will contribute by yielding valuable information on the transport of breast cancer and contribute to the development of an automated diagnostic method, with the possibility of its application to other diseases. The project will also involve members of the regional community, train regional scientists and provide synchrotron experience for Australian scientists in time for Australia's first synchrotron.Read moreRead less
Towards automated and intelligent processing of web-based information. The successful outcome of this project will enhance Australia's research reputation in an important, practical area of ICT, will contribute to emerging Web standards, will produce frontier technology that will eventually be of benefit to Australian industry, and will train several postgraduate students.