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    KDD
    2009
    ACM
    191views Data Mining» more  KDD 2009»
    Efficient methods for topic model inference on streaming document collections
    14 years 10 months ago
    Efficient methods for topic model inference on streaming document collections
    Download  www.cs.umass.edu
    Topic models provide a powerful tool for analyzing large text collections by representing high dimensional data in a low dimensional subspace. Fitting a topic model given a set of...
    Limin Yao, David M. Mimno, Andrew McCallum
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    PODS
    2009
    ACM
    112views Database» more  PODS 2009»
    Optimal sampling from sliding windows
    14 years 10 months ago
    Optimal sampling from sliding windows
    Download  www.cs.ucla.edu
    APPEARED IN ACM PODS-2009. A sliding windows model is an important case of the streaming model, where only the most "recent" elements remain active and the rest are disc...
    Vladimir Braverman, Rafail Ostrovsky, Carlo Zaniol...
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    EWSN
    2009
    Springer
    161views Computer Networks» more  EWSN 2009»
    Flow-Based Real-Time Communication in Multi-Channel Wireless Sensor Networks
    14 years 10 months ago
    Flow-Based Real-Time Communication in Multi-Channel Wireless Sensor Networks
    Download  www.ece.utk.edu
    As many radio chips used in today's sensor mote hardware can work at different frequencies, several multi-channel communication protocols have recently been proposed to improv...
    Xiaodong Wang, Xiaorui Wang, Xing Fu, Guoliang Xin...
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    MOBISYS
    2009
    ACM
    149views Computer Networks» more  MOBISYS 2009»
    PEIR, the personal environmental impact report, as a platform for participatory sensing systems research
    14 years 10 months ago
    PEIR, the personal environmental impact report, as a platform for participatory sensing systems research
    Download  www.ee.ucla.edu
    PEIR, the Personal Environmental Impact Report, is a participatory sensing application that uses location data sampled from everyday mobile phones to calculate personalized estima...
    Min Mun, Sasank Reddy, Katie Shilton, Nathan Yau, ...
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    KDD
    2007
    ACM
    197views Data Mining» more  KDD 2007»
    Learning the kernel matrix in discriminant analysis via quadratically constrained quadratic programming
    14 years 10 months ago
    Learning the kernel matrix in discriminant analysis via quadratically constrained quadratic programming
    Download  www.public.asu.edu
    The kernel function plays a central role in kernel methods. In this paper, we consider the automated learning of the kernel matrix over a convex combination of pre-specified kerne...
    Jieping Ye, Shuiwang Ji, Jianhui Chen
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