Design of dynamic visual signals. Models of the design of visual signals depend heavily upon analyses of static ornaments. Nothing is known about dynamic visual signals. We will use an array of new techniques to tackle this problem for the first time. Motion analyses will define the task faced by the visual system. Sensory limitations will be measured to identify constraints on signal evolution. Digital video playback studies will assess recognition and explain aspects of signal design. Results ....Design of dynamic visual signals. Models of the design of visual signals depend heavily upon analyses of static ornaments. Nothing is known about dynamic visual signals. We will use an array of new techniques to tackle this problem for the first time. Motion analyses will define the task faced by the visual system. Sensory limitations will be measured to identify constraints on signal evolution. Digital video playback studies will assess recognition and explain aspects of signal design. Results will test the generality of principles that have been developed in studies of female mate choice and extend these ideas to address intra-sexual selection operating through opponent assessment.Read moreRead less
Data Adaptive Geophysical Inversion. The goal of this project is to develop new techniques for extracting information about the interior structure of the Earth from large geophysical data sets. These methods will be adaptive so that they allow the definition of the physical model to be constrained by the character of the data. The project will utilize advances in computational geometry, nonlinear inversion and interactive computer visualisation to extract robust information from data sets with v ....Data Adaptive Geophysical Inversion. The goal of this project is to develop new techniques for extracting information about the interior structure of the Earth from large geophysical data sets. These methods will be adaptive so that they allow the definition of the physical model to be constrained by the character of the data. The project will utilize advances in computational geometry, nonlinear inversion and interactive computer visualisation to extract robust information from data sets with variable resolving power. The resulting algorithms will be applicable to a wide range of problems in the physical sciences.Read moreRead less
Analysing Iterative Machine Learning Algorithms with Information Geometric Methods. Online machine learning problems arise from situations where data is provided a point at a time. There are many classical algorithms for solving such problems based on the principle of stochastic gradient descent. Recent research by the CIs and others have thrown up interesting but diverse geometric connections that offer new insights. The proposed research aims to integrate the understanding of these algori ....Analysing Iterative Machine Learning Algorithms with Information Geometric Methods. Online machine learning problems arise from situations where data is provided a point at a time. There are many classical algorithms for solving such problems based on the principle of stochastic gradient descent. Recent research by the CIs and others have thrown up interesting but diverse geometric connections that offer new insights. The proposed research aims to integrate the understanding of these algorithms with the aim of designing algorithms better able to exploit prior knowledge, and to extend existing algorithms to new problem domains thus offering well principled and well understood algorithms for solving a variety of novel online problems.Read moreRead less
Kernel and Margin Based Machine Learning Algorithms. Certain machine learning algorithms, such as support vector machines, utilizing
the ideas of large margins and kernels have attracted much attention lately
because of their impressive performance on real world problems such as optical
character recognition. We plan to refine and extend such algorithms to a wide
range of different machine learning problems such as gene sequence analysis,
image processing and text classification. Expected ....Kernel and Margin Based Machine Learning Algorithms. Certain machine learning algorithms, such as support vector machines, utilizing
the ideas of large margins and kernels have attracted much attention lately
because of their impressive performance on real world problems such as optical
character recognition. We plan to refine and extend such algorithms to a wide
range of different machine learning problems such as gene sequence analysis,
image processing and text classification. Expected outcomes include the
development of software that allows the solution of hitherto unsolved machine
learning problems, and the ability to solve problems larger than those solvable
by the current generation of machine learning tools.Read moreRead less
Automatic Training Data Search and Model Evaluation by Measuring Domain Gap. We aim to investigate computer vision training data and test data, using automatically generated data sets for facial expression recognition and object re-identification. This project expects to quantify and understand the domain gap, the distribution difference between training and test data sets. Expected outcomes of this project are insights on measuring the domain gap, the ability to estimate model performance witho ....Automatic Training Data Search and Model Evaluation by Measuring Domain Gap. We aim to investigate computer vision training data and test data, using automatically generated data sets for facial expression recognition and object re-identification. This project expects to quantify and understand the domain gap, the distribution difference between training and test data sets. Expected outcomes of this project are insights on measuring the domain gap, the ability to estimate model performance without accessing expensive test labels and improvements to system generalisation. This should provide significant benefits for computer vision applications that currently require expensive labelling, and commercial and economic benefits across sectors such as transportation, security and manufacturing.Read moreRead less
Optimising throughput and Delay in network coded systems. This project addresses one main disadvantage of network coding: decoding delay. By solving this issue, we will unlock the true potential of network coding: delivery of high data rates in wireless and wireline networks. This will make network coding an attractive choice for live video streaming and mission-critical delay-sensitive applications.
Optimum cross-layer design in wireless communication systems with channel uncertainty. For wireless communications to be part of Australia's information delivery infrastructure, including the National Broadband Network, requires improvements in reliability, speed and cost effectiveness over current technologies. The assembled world class research team has the objective to develop advanced design techniques to meet this challenge.
Signal Processing for Reconfigurable Antennas – a Multidisciplinary Approach for Next Generation Wireless Communications. To satisfy the enormous demand for wireless applications with scarce radio spectrum, new technologies must be researched, developed, and then employed. Reconfigurable antennas, through morphing their physical structures with various switches, can adapt to the radio propagation environment, thereby increasing spectrum efficiency and power efficiency of wireless communications. ....Signal Processing for Reconfigurable Antennas – a Multidisciplinary Approach for Next Generation Wireless Communications. To satisfy the enormous demand for wireless applications with scarce radio spectrum, new technologies must be researched, developed, and then employed. Reconfigurable antennas, through morphing their physical structures with various switches, can adapt to the radio propagation environment, thereby increasing spectrum efficiency and power efficiency of wireless communications. This project aims to design signal processing algorithms for achieving all the benefits that reconfigurable antennas can provide for wireless communications. An important outcome of this research is sound channel models validated by extensive field measurement data.Read moreRead less
Realizable Synchronization Techniques: Unlocking the Potential of Future Wireless Networks. Wireless networks are undergoing an exciting paradigm shift from carefully planned cellular networks to heterogeneous networks (coexistence of a multitude of base stations of different types), where users may also be equipped with wireless energy harvesting capability. A fundamental requirement of these next generation technologies is the need to achieve synchronisation among the different base stations a ....Realizable Synchronization Techniques: Unlocking the Potential of Future Wireless Networks. Wireless networks are undergoing an exciting paradigm shift from carefully planned cellular networks to heterogeneous networks (coexistence of a multitude of base stations of different types), where users may also be equipped with wireless energy harvesting capability. A fundamental requirement of these next generation technologies is the need to achieve synchronisation among the different base stations and mobile users. This project will develop the fundamental theory and advanced synchronisation techniques for future wireless networks. The expected outcomes will enable wireless networks to meet the increasing demand for higher data rates and extend the battery life of mobile users, benefitting the consumers and the Australian economy.Read moreRead less
Physical Layer Security for Wireless Machine-Type Communications. This project aims to provide new understanding and design guidelines to secure wireless communications among low-cost resource-constrained devices. This is achieved by advancing the fundamental theory of an emerging security paradigm named physical layer security. Expected outcomes of this project include a communication-theoretic framework to characterise the secrecy performance of communications over wireless networks, followed ....Physical Layer Security for Wireless Machine-Type Communications. This project aims to provide new understanding and design guidelines to secure wireless communications among low-cost resource-constrained devices. This is achieved by advancing the fundamental theory of an emerging security paradigm named physical layer security. Expected outcomes of this project include a communication-theoretic framework to characterise the secrecy performance of communications over wireless networks, followed by novel signal processing and transmission designs. The research outcomes should provide innovative solutions to safeguard commercial and industry Internet of Things networks, benefiting Australia's digital transformation.Read moreRead less