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    Corcoran, Peter (116)
    Bigioi, Petronel (15)Bazrafkan, Shabab (11)Javidnia, Hossein (8)Bacivarov, Ioana (7)... View MoreSubjectElectrical and Electronic Engineering (16)Face recognition (9)Biometrics (6)Computer games (6)Consumer electronics (6)... View MoreDate Issued2020 - 2021 (8)2010 - 2019 (70)2000 - 2009 (31)1995 - 1999 (7)TypeConference Paper (63)Article (50)Other (1)Workshop paper (1)

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    Architecture of a PVR appliance with 'Long Tail' internet-TV capabilities 

    Corcoran, Peter; Callaly, Frank (IEEE, 2006)
    The design and implementation of a networked PVR appliance incorporating support for Internet-TV is described. The appliance incorporates support for the bittorrent protocol and employs user tools for content location, ...
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    A crash course on patents for engineers 

    Corcoran, Peter (IEEE, 2013-01-12)
    Most engineers are aware of the existence of patents. Indeed the preparation of patent disclosures is an important aspect of most research engineering job functions. Yet for many engineers the world of patents remains ...
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    Deep learning for consumer devices and services: Pushing the limits for machine learning, artificial intelligence, and computer vision 

    Lemley, Joseph; Bazrafkan, Shabab; Corcoran, Peter (Institute of Electrical and Electronics Engineers (IEEE), 2017-04)
    In the last few years, we have witnessed an exponential growth in research activity into the advanced training of convolutional neural networks (CNNs), a field that has become known as deep learning. This has been triggered ...
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    Getting more from your datasets: Data augmentation, annotation and generative techniques 

    Corcoran, Peter; Bazrafkkan, Shabab; Lemley, Joe (XPERI Inc., 2018-05-18)
    Deep Learning for embedded vision requires large datasets. Indeed the more varied training data is, the more accurate the trained network. But, acquiring and accurately annotating datasets costs time and money. This talk ...
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    Hybrid Semi-Parallel Deep Neural Networks (SPDNN) – example methodologies and use cases 

    Corcoran, Peter; Bazrafkkan, Shabab (XPERI Inc., 2018-05-23)
    Deep neural networks (DNNs) are typically trained on specific datasets, optimized with particular discriminating capabilities. Often several different DNN topologies are developed solving closely related aspects of a ...
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    Browser-style interfaces to a home automation network 

    Desbonnet, Joe; Corcoran, Peter (IEEE, 1997)
    The design and implementation of a browser-style interface to a home automation network is described. The interface supports browsing and navigation of network devices and context structures and the user can ...
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    Introducing the IEEE Biometrics Compendium: Insight into the current issue. 

    Corcoran, Peter (IEEE, 2014-01)
    IEEE biometrics compendium is the first IEEE virtual journal, which is a collection of previously published IEEE papers in specific scientific and technical disciplines paired with value-added commentary from technology ...
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    A practical challenge for iris authentication on handheld imaging devices 

    Thavalengal, Shejin; Corcoran, Peter (IEEE, 2015)
    Following on the introduction of fingerprint biometrics, iris authentication for handheld imaging devices has become a hot research topic. However widespread adoption of this technology faces a significant challenge as ...
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    Fast A/V channel switching on a wireless home network 

    Corcoran, Peter; Callaly, Frank (IEEE, 2005-11-21)
    A method of enabling fast switching between multimedia streams on an 802.11g network is described. This technique is particularly useful for A/V home network applications where it is desirable to simulate the fast channel ...
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    Automatic indexing of consumer image collections using person recognition techniques 

    Corcoran, Peter; Costache, Gabriel (IEEE, 2005-01-08)
    An evaluation of person recognition technologies for use in an automatic cataloging tool for consumer image collections is presented. Prototype implementations of the automatic cataloging tool and user search tools are ...
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