Pattern Recognition and Scene Analysis via Machine Learning. We plan to use kernel methods, a novel machine learning technique, for computer vision problems, such as scene analysis and real time object recognition. Such capabilities are relevant for the design of intelligent and adaptive systems, suitable for complex real world environments. Expected outcomes are the design of efficient statistical tools which take the special nature of visual data into account (structure, decomposition, prior ....Pattern Recognition and Scene Analysis via Machine Learning. We plan to use kernel methods, a novel machine learning technique, for computer vision problems, such as scene analysis and real time object recognition. Such capabilities are relevant for the design of intelligent and adaptive systems, suitable for complex real world environments. Expected outcomes are the design of efficient statistical tools which take the special nature of visual data into account (structure, decomposition, prior knowledge of physical environments, etc.) and combine the advantages of feature based high-level vision methods with low-level machine learning techniques.
This proposal is part of a joint IST project with partners from the European Union.Read moreRead less
Computer Vision Optimization Problems Using Machine Learning. Computer Vision concerns itself with understanding the world through the analysis of images obtained by a video or still camera. An important application is tracking of people in video and modelling their movements. This has evident applications in security, sport and entertainment. By enabling the computer to capture the motion of a subject in a video, we may detect suspicious activity in security, analyze the motion (golf-swing, ....Computer Vision Optimization Problems Using Machine Learning. Computer Vision concerns itself with understanding the world through the analysis of images obtained by a video or still camera. An important application is tracking of people in video and modelling their movements. This has evident applications in security, sport and entertainment. By enabling the computer to capture the motion of a subject in a video, we may detect suspicious activity in security, analyze the motion (golf-swing, diving style) of a sports-person, or capture the motion of an actor for animation or game applications. Development of a reliable technology requires new optimization techniques, which will place Australia at the forefront of the application of such research, commercially and for the public benefit.Read moreRead less
Generic Content-based News Picture Retrieval with Local Invariant Features. Image Retrieval searches for images from large databases whose visual content meets the requirements submitted by users. Besides directly benefiting the Partner Organization, this project will enable more efficient access to large picture repositories in news agencies and publishers, digital libraries and film archives. It will make public use of visual information much more convenient and economical. It will help securi ....Generic Content-based News Picture Retrieval with Local Invariant Features. Image Retrieval searches for images from large databases whose visual content meets the requirements submitted by users. Besides directly benefiting the Partner Organization, this project will enable more efficient access to large picture repositories in news agencies and publishers, digital libraries and film archives. It will make public use of visual information much more convenient and economical. It will help security officers to effortlessly and accurately find particular scenes from the images generated by a large closed-circuit TV networks. Also, the developed technology can be applied to tele-education and e-commerce. New algorithms developed in this project will benefit the Australian and world scientific communities.Read moreRead less
Asymptotic Geometric Analysis and Machine Learning. Phenomena in large dimensions appear in a number of domains of Mathematics and adjacent domains of science (e.g. Computer Science), dealing with functions of infinitely growing number of parameters. Here, we focus on several questions naturally linked to Asymptotic Geometric Analysis which have natural applications to Statistical Learning Theory. We intend to use geometric, probabilistic and combinatorial methods to investigate these problems, ....Asymptotic Geometric Analysis and Machine Learning. Phenomena in large dimensions appear in a number of domains of Mathematics and adjacent domains of science (e.g. Computer Science), dealing with functions of infinitely growing number of parameters. Here, we focus on several questions naturally linked to Asymptotic Geometric Analysis which have natural applications to Statistical Learning Theory. We intend to use geometric, probabilistic and combinatorial methods to investigate these problems, with an emphasis on modern tools in Empirical Processes Theory and the theory of Random Matrices.Read moreRead less
High Performance Runtimes for Next Generation Languages. X10 is a type-safe, memory-safe programming language. This project will help make X10 a viable choice for secure software on the next generation of computer architectures. The proposed project will contribute to a better understanding of the fundamental processes that advance knowledge and facilitate the development of technological innovations (a research priority goal). By addressing a key emerging problem and consolidating Australian- ....High Performance Runtimes for Next Generation Languages. X10 is a type-safe, memory-safe programming language. This project will help make X10 a viable choice for secure software on the next generation of computer architectures. The proposed project will contribute to a better understanding of the fundamental processes that advance knowledge and facilitate the development of technological innovations (a research priority goal). By addressing a key emerging problem and consolidating Australian-based expertise in this area, the project will also enhance Australia’s capacity in frontier technologies research.Read moreRead less
Geometric parameters in Learning Theory. We aim to investigate the behaviour of geometric parameters which appear naturally in Statistical Learning Theory. Those parameters are used to control the sample complexity, which is the size of a random sample needed to produce an accurate prediction. They are also of independent interest in the local theory of Banach spaces. We shall use geometric methods originating in the local theory of Banach spaces to investigate the parameters and the way they in ....Geometric parameters in Learning Theory. We aim to investigate the behaviour of geometric parameters which appear naturally in Statistical Learning Theory. Those parameters are used to control the sample complexity, which is the size of a random sample needed to produce an accurate prediction. They are also of independent interest in the local theory of Banach spaces. We shall use geometric methods originating in the local theory of Banach spaces to investigate the parameters and the way they influence sample complexity. All the problems we focus on are not only important from the Machine Learning point of view, but are intriguing in their theoretical implications.Read moreRead less
Reconceiving Machine Learning. The proposed research will develop a new way to consider problems to which machine learning can be applied. Machine learning is crucial enabler of the digital economy. The research will provide better opportunities for Australian industry to gain a competitive advantage with machine learning technology. The framework developed will enable better opportunities for collaborative research and will build and strengthen international linkages.
Dynamic Cooperative Performance Optimizations. This project seeks to improve the reliability, security, and
performance of modern software systems. Security is a problem of such
scale that outbreaks of computer viruses etc. headline in major
financial newspapers. We approach the problem by addressing the key
performance problems that hold back the programming languagues widely
used for secure and reliable systems. By improving the reliability,
security and performance of computer system ....Dynamic Cooperative Performance Optimizations. This project seeks to improve the reliability, security, and
performance of modern software systems. Security is a problem of such
scale that outbreaks of computer viruses etc. headline in major
financial newspapers. We approach the problem by addressing the key
performance problems that hold back the programming languagues widely
used for secure and reliable systems. By improving the reliability,
security and performance of computer systems, this project will help
alleviate the millions of hours and dollars lost to inadvertent errors
and malicious software attacks. The project will give Australia an
international presence in a research area of great academic and
commercial importance.Read moreRead less
Accurate Performance Modelling and Prediction of Cluster Computers. The tools, methodologies and data produced by this project will assist
Australian academic and industrial organisations in choosing the most
cost-effective cluster configurations for their specific high
performance computing requirements. It will also help an Australian
company to compete with increasing strength against the major
multinationals. The project will also draw together and promote future
research links between ....Accurate Performance Modelling and Prediction of Cluster Computers. The tools, methodologies and data produced by this project will assist
Australian academic and industrial organisations in choosing the most
cost-effective cluster configurations for their specific high
performance computing requirements. It will also help an Australian
company to compete with increasing strength against the major
multinationals. The project will also draw together and promote future
research links between two major academic institutions in this field.
Finally, the project will provide high-level training in research,
with industrial grounding, in the high performance computing industry.
Read moreRead less
Special Research Initiatives - Grant ID: SR0354696
Funder
Australian Research Council
Funding Amount
$30,000.00
Summary
ARC Research Network in Enterprise Information Infrastructure (EII). This research network targets investigation of Enterprise Computing and its infrastructure, with an emphasis on emerging advanced technologies and practices, for large-scale enterprises, government agencies and community groups. EII will bring together the best IT researchers, leading edge users and key IT technology providers to support consolidated, technically sound, integrated and strategically positioned research towards s ....ARC Research Network in Enterprise Information Infrastructure (EII). This research network targets investigation of Enterprise Computing and its infrastructure, with an emphasis on emerging advanced technologies and practices, for large-scale enterprises, government agencies and community groups. EII will bring together the best IT researchers, leading edge users and key IT technology providers to support consolidated, technically sound, integrated and strategically positioned research towards solutions for next generation Enterprise Computing. Web services, the Semantic Web and Service Oriented Computing are fast emerging new disciplines with far reaching impacts. EII will contribute to their growth and to their practical deployment in Australia and beyond. The establishment of EII network will dramatically add value to already supported but often fragmented research projects.Read moreRead less