256 resultados para action potentials


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Deep convolutional network models have dominated recent work in human action recognition as well as image classification. However, these methods are often unduly influenced by the image background, learning and exploiting the presence of cues in typical computer vision datasets. For unbiased robotics applications, the degree of variation and novelty in action backgrounds is far greater than in computer vision datasets. To address this challenge, we propose an “action region proposal” method that, informed by optical flow, extracts image regions likely to contain actions for input into the network both during training and testing. In a range of experiments, we demonstrate that manually segmenting the background is not enough; but through active action region proposals during training and testing, state-of-the-art or better performance can be achieved on individual spatial and temporal video components. Finally, we show by focusing attention through action region proposals, we can further improve upon the existing state-of-the-art in spatio-temporally fused action recognition performance.

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Contribution to ARI Remix. ARI remix is a three-year digital humanities, artist interviews and oral history project collecting and presenting memories of Australian Artist-run culture in Queensland, New South Wales and the Australian Capital Territory between 1980 and 2000. Its focus is fleshing out and illuminating the ephemeral and neglected histories of the many lively and socially engaged artistic scenes along the east coast of Australia during the last two decades of the 20th century.

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Strategies that confine antibacterial and/or antifouling property to the surface of the implant, by modifying the surface chemistry and morphology or by encapsulating the material in an antibiotic-loaded coating, are most promising as they do not alter bulk integrity of the material. Among them, plasma-assisted modification and catechol chemistry stand out for their ability to modify a wide range of substrates. By controlling processing parameters, plasma environment can be used for surface nano structuring, chemical activation, and deposition of biologically active and passive coatings. Catechol chemistry can be used for material-independent, highly-controlled surface immobilisation of active molecules and fabrication of biodegradable drug-loaded hydrogel coatings. In this article, we comprehensively review the role plasma-assisted processing and catechol chemistry can play in combating bacterial colonisation on medically relevant coatings, and how these strategies can be coupled with the use of natural antimicrobial agents to produce synthetic antibiotic-free antibacterial surfaces.

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Reviews and synthesizes evidence to produce evidence-based recommendations on policy actions to improve food composition for NSW Health

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Reviews and synthesizes evidence to produce evidence-based recommendations on policy actions to improve food labeling for NSW Health

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Reviews and synthesizes evidence to make recommendations on policy actions improve food environments in the area of food promotion for NSW Health

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Reviews and synthesizes evidence to produce evidence-based recommendations on policy actions to improve food pricing for NSW Health

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Reviews and synthesizes evidence to produce evidence-based recommendations on policy actions to improve food provision for NSW Health

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Reviews and synthesizes nutrition policy actions to improve food retail for NSW Health

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Summaries evidence across seven domains of potential food policy action to improve food environments and food supply to prevent obesity for NSW Health

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This PhD research has proposed new machine learning techniques to improve human action recognition based on local features. Several novel video representation and classification techniques have been proposed to increase the performance with lower computational complexity. The major contributions are the construction of new feature representation techniques, based on advanced machine learning techniques such as multiple instance dictionary learning, Latent Dirichlet Allocation (LDA) and Sparse coding. A Binary-tree based classification technique was also proposed to deal with large amounts of action categories. These techniques are not only improving the classification accuracy with constrained computational resources but are also robust to challenging environmental conditions. These developed techniques can be easily extended to a wide range of video applications to provide near real-time performance.

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The rise of educational action research amongst schools in Singapore can be attributed to the government’s belief that educational research and reform can improve school performance and help Singapore keep pace with the impact of globalization. However, against a backdrop of neo-liberal educational reform where efficiency, accountability and demonstrable outcomes are valued, the underlying intent of the action research projects would seem to be inconsistent with the emancipatory intent normally associated with action research. A systematic review was conducted of 71 action research projects submitted to a local educational conference in 2006. Of concern to us is how action research has been narrowly interpreted and recruited simply as an evaluative tool with the emancipatory potential largely ignored. The paper is theoretically framed by governmentality and performativity to explore the embedded power relations that may “fabricate” the action research projects. The findings and discussions suggest a need for the government, schools and teacher-researchers to reflexively question the current expectation of action research and to be clear about its broader purpose

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We study the effect of affirmative action on effort in an experiment conducted in high schools in socioeconomically disadvantaged areas in Queensland, Australia. All participating schools have a large representation of indigenous Australians, a population group that is frequently targeted by affirmative action. Our participants perform a simple real-effort task in a competitive setting. Those ranked in the top third receive a high piece-rate payment and all the others receive a low payment. We introduce affirmative action by providing the lowest (bottom third) performers with a positive handicap increasing their chances to achieve the high payment target. Our findings show that the policy increases effort of those that it aims to favour, without discouraging effort of those who are indirectly penalized by affirmative action.

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‘Practice Forum’ provides a forum for social work practitioners to share their practice with others; to describe what they are doing and assess its effectiveness. The practice of case management is applied in a wide range of service delivery models to meet complex client needs. Unfortunately, cost containment and lack of clarity of the role of the case manager has blurred the definition and practice of case management for both the consumer and professional providers. This article examines two cases of a small non-government agency in Melbourne called Alcohol Related Brain Injury Assessment, Accommodation & Support Inc. (ARBIAS) where case management services are delivered to people with alcohol acquired brain damage. The analysis presented here supports the view that continuity of care and intensive relationship building with clients is vital for successful client outcomes and has application to a variety of programs which service chronically disabled clients.

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This article outlines the purpose, definition and usefulness of social work practice research and then describes a training program conducted by a group of social workers in the Australian Association of Social Workers (Victorian Branch) Practice Research Special Interest Group. These workshops offered practitioners the opportunity to explore a research idea with a group of colleagues which acted as a reference group over a period of six months. Two models of practice research workshops are described and their outcomes presented.