High-performance computational data-mining techniques for feature detection in complex time series from large-scale, networked plasma experiments. Terabytes of data are gathered from large experimental facilities as complex time-series. Analysis of these data is daunting, especially when they involve high-dimensional spectral or image arrays. We will develop high-performance computational techniques for dimension reduction, efficient data-mining, and experimental control, using as an initial ta ....High-performance computational data-mining techniques for feature detection in complex time series from large-scale, networked plasma experiments. Terabytes of data are gathered from large experimental facilities as complex time-series. Analysis of these data is daunting, especially when they involve high-dimensional spectral or image arrays. We will develop high-performance computational techniques for dimension reduction, efficient data-mining, and experimental control, using as an initial target the H-1NF plasma fusion MNRF at the ANU and its >100 GB/year data stream. The techniques will immediately provide Australian researchers with unique tools for collaboration in international research to develop fusion as a low-emissions source of electricity, and will be applicable to complex time-series analysis in other areas of science, medicine, and defence.Read moreRead less
Efficient Techniques for Mining Exceptional Patterns. This research will develop totally new techniques for exceptional pattern discovery that are useful for deeper understanding data mining and capturing the hidden interactions (class-bridge rules and out-expectation patterns) within data. This will enable Australian data marketers to access valuable implicit information that is contained in their data, but not currently accessible. The outcomes will keep Australia in the international leading ....Efficient Techniques for Mining Exceptional Patterns. This research will develop totally new techniques for exceptional pattern discovery that are useful for deeper understanding data mining and capturing the hidden interactions (class-bridge rules and out-expectation patterns) within data. This will enable Australian data marketers to access valuable implicit information that is contained in their data, but not currently accessible. The outcomes will keep Australia in the international leading edge and preserve its competitive status in preemptively defining the information market of tomorrow. To 'Frontier Technologies for Building and Transforming Australian Industries', discovering new exceptional patterns within data will lead to increased efficiency in Australian Industries.Read moreRead less
Intelligent archiving and retrieving of clinic laboratory records in pathology/radiology informatics study. Pathology/radiology Informatics has emerged as an arm for developing next-generation pathology/radiology reporting methods, databases, imagery, and diagnostics. Current report archiving systems are very primitive, restricting any sophisticated use of the reports. This proposal aims to develop an innovative pathology/radiology report archiving system capable of automatically extracting usef ....Intelligent archiving and retrieving of clinic laboratory records in pathology/radiology informatics study. Pathology/radiology Informatics has emerged as an arm for developing next-generation pathology/radiology reporting methods, databases, imagery, and diagnostics. Current report archiving systems are very primitive, restricting any sophisticated use of the reports. This proposal aims to develop an innovative pathology/radiology report archiving system capable of automatically extracting useful information from reports. This system will make a smart use of pathology/radiology data and open a new way to extend current tests and examinations from being disease-focussed to being wellness focussed. It will also significantly reduce the number of tests, i.e., associated cost for healthcare.Read moreRead less
Intelligent archiving and retrieving of clinic laboratory records in pathology/radiology informatics study. Since 80% of the critical decisions made in medicine involve a pathology test or radiology examination, Pathology/radiology Informatics has emerged as an arm for developing next-generation pathology/radiology reporting methods, databases, imagery, and diagnostics. Current archiving systems are very primitive, restricting any sophisticated use of the reports. This proposal aims to collabora ....Intelligent archiving and retrieving of clinic laboratory records in pathology/radiology informatics study. Since 80% of the critical decisions made in medicine involve a pathology test or radiology examination, Pathology/radiology Informatics has emerged as an arm for developing next-generation pathology/radiology reporting methods, databases, imagery, and diagnostics. Current archiving systems are very primitive, restricting any sophisticated use of the reports. This proposal aims to collaborate with Lossless Data Compression Pty Ltd in developing an innovative pathology/radiology report archiving system capable of automatically extracting useful information. This system will make a smart use of pathology/radiology data and open a new way to extend current tests and examinations from being disease-focussed to being wellness focussed.Read moreRead less
Effective image search and retrieval through automatic image annotation. This project aims to develop an effective and efficient image retrieval system, so that images are retrieved as easily as textual data. The project researches and develops several key know-hows in image retrieval. It enables Australia to maintain significant advantage in the frontier technology of information processing.
Intelligent Image Retrieval from Distorted and Partial Queries for Rapid Mobile Identification of Pests Threatening Food and the Environment. Pests and diseases are major threats to the Australian food industry and environmental biosecurity. A rapid and mobile pest information retrieval system is critical to prevent a pest becoming established and devastating the region. However, automated insect image retrieval remains an unsolved challenge in the research community. This project addresses the ....Intelligent Image Retrieval from Distorted and Partial Queries for Rapid Mobile Identification of Pests Threatening Food and the Environment. Pests and diseases are major threats to the Australian food industry and environmental biosecurity. A rapid and mobile pest information retrieval system is critical to prevent a pest becoming established and devastating the region. However, automated insect image retrieval remains an unsolved challenge in the research community. This project addresses the fundamental problem of distorted and partial image query in cluttered background in order to achieve pest identification at a much earlier on-site stage. The success of this research will not only make a technical breakthrough towards retrieving objects with movable body parts, but also revolutionise the current pest detection and monitoring process.Read moreRead less
Single model irregular-region retrieval for rapid plant disease detection. This project aims to study the major technical barrier in plant disease image retrieval to build a pervasive rapid plant disease identification system. The techniques are designed to function on one or very few sample images, thus enabling on-line in field disease identification linked to authoritative plant disease image libraries. The success of this project will not only make significant contributions to fundamental th ....Single model irregular-region retrieval for rapid plant disease detection. This project aims to study the major technical barrier in plant disease image retrieval to build a pervasive rapid plant disease identification system. The techniques are designed to function on one or very few sample images, thus enabling on-line in field disease identification linked to authoritative plant disease image libraries. The success of this project will not only make significant contributions to fundamental theory in single model image retrieval, but also create a revolution in plant disease early detection for effective and efficient crop protection.Read moreRead less