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Research Topic : NEURAL NETWORK
Field of Research : Computer Vision
Australian State/Territory : VIC
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  • Active Funded Activity

    Linkage Projects - Grant ID: LP200200881

    Funder
    Australian Research Council
    Funding Amount
    $643,565.00
    Summary
    Collaborative Sensing and Learning for Maritime Situational Awareness. We aim to demonstrate coordinated autonomous sensing of naval assets in dynamic maritime environments, reducing the operational load required to deliver a high quality maritime situational awareness. A realistic simulation based approach will help us develop novel artificial intelligence technology including: self-adaptive strategies for dynamic asset allocation, embedded smart sensing capabilities for naval observation syste .... Collaborative Sensing and Learning for Maritime Situational Awareness. We aim to demonstrate coordinated autonomous sensing of naval assets in dynamic maritime environments, reducing the operational load required to deliver a high quality maritime situational awareness. A realistic simulation based approach will help us develop novel artificial intelligence technology including: self-adaptive strategies for dynamic asset allocation, embedded smart sensing capabilities for naval observation systems and novel approaches to continuous collaborative learning from multi-spectral media. In addition to the emerging partnership between participants, the project will advance sovereign capability to develop maritime intelligence gathering technology for the Royal Australian Navy to underpin stability in our region.
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    Funded Activity

    Discovery Projects - Grant ID: DP0987421

    Funder
    Australian Research Council
    Funding Amount
    $245,000.00
    Summary
    Automatic Human Age Estimation Based on Visual Information. Age verification is important for many security applications including passport control for border security, and protecting children from adult websites, venues, or products. Accurate, reliable and practical age estimation or verification technologies would be of enormous benefit for 'Safeguarding Australia'. The ability of a machine to estimate a person's age and provide an age-appropriate interface also has benefits for the young and .... Automatic Human Age Estimation Based on Visual Information. Age verification is important for many security applications including passport control for border security, and protecting children from adult websites, venues, or products. Accurate, reliable and practical age estimation or verification technologies would be of enormous benefit for 'Safeguarding Australia'. The ability of a machine to estimate a person's age and provide an age-appropriate interface also has benefits for the young and old in our society. The outcome of this project, practical technologies for automatic human age estimation based on visual information, will dramatically change the current (non-technology based) methods of age verification and create new opportunities for customised human-machine interfaces.
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    Funded Activity

    Discovery Projects - Grant ID: DP0209969

    Funder
    Australian Research Council
    Funding Amount
    $370,808.00
    Summary
    Concept-based retrieval and interpretation for large data sets. Access to on-line information is growing at an exponential rate, fuelled by advances in computing and communications technologies. Current information retrieval methods are becoming ineffective due to their reliance on simple term-based methods, resulting in a massive number of matches, of which only a small proportion are relevant. We address this problem by developing new matching algorithms which understand the underlying .... Concept-based retrieval and interpretation for large data sets. Access to on-line information is growing at an exponential rate, fuelled by advances in computing and communications technologies. Current information retrieval methods are becoming ineffective due to their reliance on simple term-based methods, resulting in a massive number of matches, of which only a small proportion are relevant. We address this problem by developing new matching algorithms which understand the underlying meaning of documents in database repositories - by building semantic structures semi-automatically - and thus provide more relevant information to queries. This project will be of great benefit to a multitude of end-users in medicine, history, law and many other disciplines.
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    Active Funded Activity

    ARC Future Fellowships - Grant ID: FT190100623

    Funder
    Australian Research Council
    Funding Amount
    $1,015,000.00
    Summary
    In search of relevant things: A novel approach for image analysis. This project aims to investigate how experts’ cognitive processes may be transferred to computers for the automatic recognition of visual features. By merging computer and brain sciences, the project will characterise the way the brains of experts understand what is seen, in order to translate such a process in a new computer vision tool. This should provide significant benefits, such as automatic detection of threats or diseases .... In search of relevant things: A novel approach for image analysis. This project aims to investigate how experts’ cognitive processes may be transferred to computers for the automatic recognition of visual features. By merging computer and brain sciences, the project will characterise the way the brains of experts understand what is seen, in order to translate such a process in a new computer vision tool. This should provide significant benefits, such as automatic detection of threats or diseases in satellite and diagnostic imaging, respectively, among other applications. For the first time, the combination of how a computer analyses an image and how an expert interprets it will be used as a common language to enable machines to process visual information in a manner that mimics the way human brains do.
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    Showing 1-4 of 4 Funded Activites

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