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TAG: Machine Learning

Online Learning for Large Scale Structured Data in Complex Situation (DP140102270)

ACVT has been awarded a 3 year ARC Discovery Grant valued at  $380,787. The project will be led by Dr Qinfeng Shi and will include collaboration with Charles Sturt University and the University of Southampton. Online Learning (OL) is the process of predicting answers for a sequence of questions. OL has enjoyed much attention in […]

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Post-doctoral Research Fellowship in Online Learning and Graphical Models – 2 year position now available

Post-Doctoral Research Fellowship Online Learning for Large Scale Structured Data in Complex Situations Australian Centre for Visual Technologies, University of Adelaide, Australia (www.acvt.com.au) Duration: 2 years (renewable) The project is run by Dr Qinfeng (Javen) Shi. Online Learning (OL) is the process of predicting answers for a sequence of questions. OL has enjoyed much attention […]

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Post-Doctoral Research Fellowship in Computer Vision and Machine Learning

Exploiting context in large-scale image-based classification problems Australian Centre for Visual Technologies University of Adelaide, Australia www.acvt.com.au Duration: 2 years The Australian Centre for Visual Technologies (ACVT) is one of the largest computer vision and machine learning research groups in Australia. Based in Adelaide, we currently number over 40 members including academics, research staff and […]

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Post-Doctoral Research Fellowships in Computer Vision, Robotics and Machine Learning

The Australian Centre for Visual Technologies, School of Computer Science, University of Adelaide, Australia www.acvt.com.au The Australian Centre for Visual Technologies (ACVT) is currently seeking to fill up to 5 posts in computer vision, SLAM and machine learning.  The Centre is one of the largest computer vision and image analysis research groups in Australia. Based […]

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Semantic change detection through large-scale learning (LP130100156)

ACVT has been awarded a 3 year ARC Linkage Project valued at $377,000. The industry partner is BAE Systems. The CIs on the project are Prof. Anton van den Hengel, Dr Chunhua Shen, Dr Anders Eriksson and Dr Qinfeng Shi. Identifying whether there has been a significant change in a scene from a set of […]

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Hettich partner with LBT Innovations to commercialise ACVT technology

From the LBT Innovations ASX release: 15 April 2013, Adelaide: Medical technology company LBT Innovations Limited (ASX: LBT) has signed an agreement with the Switzerland-based laboratory instrumentation company, Hettich AG Switzerland, to finalise a partnership to complete the development and commercialisation of LBT’s Automated Plate Assessment System (APAS®). The APAS system is built upon technology […]

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ARC LIEF Grant Success

ACVT has been awarded $210,000 through the ARC Linkage Infrastructure and Equipment Facilities (LIEF) program to further develop its Machine Learning capacity. Machine learning is responsible for many recent advances in image-based information analysis, from finding minerals in satellite images, to image-based guidance of autonomous vehicles. This progress is due to new methods for learning […]

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ACVT working with the Motor Accident Commission to improve Cycling Safety

ACVT is working with the South Australian Motor Accident Commission (MAC) with the aim of improving the safety of cyclists. A project commencing shortly will focus on developing software to enable the MAC to analyse imagery to evaluate the visibility of cyclists under a range of conditions. A key goal for the project is to […]

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Computational infrastructure for machine learning in computer vision (LE130100156)

ACVT has been awarded an ARC LIEF Grant valued at $210,000. The funding will facilitate the acquisition of equipment and infrastructure to support the ACVTs work in Machine Learning. The CIs on the project are Prof. Anton van den Hengel, Prof. Ian Reid, Prof. David Suter, Dr Anthony Dick and Dr Chunhua Shen. Machine learning […]

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Scalable classification for massive datasets: randomized algorithms (LP120200485)

ACVT has been awarded a 3 year ARC Linkage Grant valued at $510,000. The industry partner on the grant is LBT Innovations, an SA based biomedical company. The CIs on the project are Prof. Anton van den Hengel, Dr Chunhua Shen and Dr Qinfeng Shi. Classification is a fundamental data analysis technology and is applied […]

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