984 resultados para Town Hall


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At head of title: Electric Lighting Committee.

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Budget Town Hall Meeting with FIU President Mark B. Rosenberg on May 2,2012 held at the MARC Pavillion at Modesto A. Maidique Campus

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President's Budget Town Hall Meeting, held on May 19,2011 at Biscayne Bay Campus, Florida International University, featuring FIU President Mark B. Rosenberg.

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Town Hall Meeting held at the Graham Center, Maidique Campus, on the topic of the University Budget and Strategic Plan. Speakers include President Mark B. Rosenberg and Provost and Executive Vice President Douglas Wartzok.

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General note: Title and date provided by Bettye Lane.

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General note: Title and date provided by Bettye Lane.

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Three major periods of Brisbane's history were selected for examination of the social meaning of Brisbane City Hall: 1908 to 1920 – during which many debates about a 'new town hall' occurred, 1921 to 1930 – the construction phase, and the 1930s – City Hall's first decade of public use. This study shows that Brisbane City Hall is a central place where multiple social meanings have been made by residents and visitors. A broad range of views about City Hall existed during the periods studied; views and meanings that are not captured by its epithets or covered adequately by the existing literature. This thesis is an introductory study of the social meaning of Brisbane City Hall – what was said about it, how it was used and its significance to Brisbane's residents and visitors.

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This is a review of Brisbane artist Christopher Howlett's 2009 exhibitions at Metro Arts and the Brisbane Town Hall. The review discusses the artist's use of 'modding' and other digital hacking strategies to explore the ethical dimensions of topics including Michael Jackson and the war in Iraq.

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Abstract: Australia’s ecosystems are the basis of our current and future prosperity, and our national well-being.A strong and sustainable Australian ecosystem science enterprise is vital for understanding and securing these ecosystems in the face of current and future challenges. This Plan defines the vision and key directions for a national ecosystem science capability that will enable Australia to understand and effectively manage its ecosystems for decades to come.The Plan’s underlying theme is that excellent science supports a range of activities, including public engagement, that enable us to understand and maintain healthy ecosystems.Those healthy ecosystems are the cornerstone of our social and economic well-being.The vision guiding the development of this Plan is that in 20 years’ time the status of Australian ecosystems and how they change will be widely reported and understood, and the prosperity and well-being they provide will be secure. To enable this, Australia’s national ecosystem science capability will be coordinated, collaborative and connected.The Plan is based on an extensive set of collaboratively generated proposals from national town hall meetings that also formthe basis for its implementation. Some directions within the Plan are for the Australian ecosystem science community itself to implement, others will involve the users of ecosystem science and the groups that fund ecosystem science.We identify six equal priority areas for action to achieve our vision: (i) delivering maximum impact for Australia: enhancing relationships between scientists and end-users; (ii) supporting long-termresearch; (iii) enabling ecosystem surveillance; (iv) making the most of data resources; (v) inspiring a generation: empowering the public with knowledge and opportunities; (vi) facilitating coordination, collaboration and leadership. This shared vision will enable us to consolidate our current successes, overcome remaining barriers and establish the foundations to ensure Australian ecosystem science delivers for the future needs of Australia..

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Acoustic recordings of the environment provide an effective means to monitor bird species diversity. To facilitate exploration of acoustic recordings, we describe a content-based birdcall retrieval algorithm. A query birdcall is a region of spectrogram bounded by frequency and time. Retrieval depends on a similarity measure derived from the orientation and distribution of spectral ridges. The spectral ridge detection method caters for a broad range of birdcall structures. In this paper, we extend previous work by incorporating a spectrogram scaling step in order to improve the detection of spectral ridges. Compared to an existing approach based on MFCC features, our feature representation achieves better retrieval performance for multiple bird species in noisy recordings.

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In this paper we tackle the problem of efficient video event detection. We argue that linear detection functions should be preferred in this regard due to their scalability and efficiency during estimation and evaluation. A popular approach in this regard is to represent a sequence using a bag of words (BOW) representation due to its: (i) fixed dimensionality irrespective of the sequence length, and (ii) its ability to compactly model the statistics in the sequence. A drawback to the BOW representation, however, is the intrinsic destruction of the temporal ordering information. In this paper we propose a new representation that leverages the uncertainty in relative temporal alignments between pairs of sequences while not destroying temporal ordering. Our representation, like BOW, is of a fixed dimensionality making it easily integrated with a linear detection function. Extensive experiments on CK+, 6DMG, and UvA-NEMO databases show significant performance improvements across both isolated and continuous event detection tasks.