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    SIAMMAX
    2010
    164views more  SIAMMAX 2010»
    Uniqueness of Low-Rank Matrix Completion by Rigidity Theory
    13 years 2 months ago
    Uniqueness of Low-Rank Matrix Completion by Rigidity Theory
    Download  www.math.princeton.edu
    The problem of completing a low-rank matrix from a subset of its entries is often encountered in the analysis of incomplete data sets exhibiting an underlying factor model with app...
    Amit Singer, Mihai Cucuringu
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    SIGMOD
    2010
    ACM
    132views Database» more  SIGMOD 2010»
    Durable top-k search in document archives
    13 years 2 months ago
    Durable top-k search in document archives
    Download  event.cwi.nl
    We propose and study a new ranking problem in versioned databases. Consider a database of versioned objects which have different valid instances along a history (e.g., documents i...
    Leong Hou U, Nikos Mamoulis, Klaus Berberich, Srik...
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    TCAD
    2010
    150views more  TCAD 2010»
    Voltage and Temperature Aware Statistical Leakage Analysis Framework Using Artificial Neural Networks
    13 years 2 months ago
    Voltage and Temperature Aware Statistical Leakage Analysis Framework Using Artificial Neural Networks
    Download  chips.ece.iisc.ernet.in
    Artificial neural networks (ANNs) have shown great promise in modeling circuit parameters for computer aided design applications. Leakage currents, which depend on process paramete...
    Janakiraman Viraraghavan, Bharadwaj Amrutur, V. Vi...
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    TIP
    2010
    255views more  TIP 2010»
    Image Super-Resolution Via Sparse Representation
    13 years 2 months ago
    Image Super-Resolution Via Sparse Representation
    Download  www.ifp.illinois.edu
    This paper presents a new approach to single-image superresolution, based on sparse signal representation. Research on image statistics suggests that image patches can be wellrepre...
    Jianchao Yang, John Wright, Thomas S. Huang, Yi Ma
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    TMI
    2010
    143views more  TMI 2010»
    Data Specific Spatially Varying Regularization for Multimodal Fluorescence Molecular Tomography
    13 years 2 months ago
    Data Specific Spatially Varying Regularization for Multimodal Fluorescence Molecular Tomography
    Download  www.ece.tufts.edu
    Fluorescence molecular tomography (FMT) allows in vivo localization and quantification of fluorescence biodistributions in whole animals. The ill-posed nature of the tomographic re...
    Damon Hyde, Eric L. Miller, Dana H. Brooks, Vasili...
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