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    » Resolution Limits of Sparse Coding in High Dimensions
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    NIPS
    1998
    147views Information Technology» more  NIPS 1998»
    Coding Time-Varying Signals Using Sparse, Shift-Invariant Representations
    13 years 8 months ago
    Coding Time-Varying Signals Using Sparse, Shift-Invariant Representations
    Download  papers.cnl.salk.edu
    A common way to represent a time series is to divide it into shortduration blocks, each of which is then represented by a set of basis functions. A limitation of this approach, ho...
    Michael S. Lewicki, Terrence J. Sejnowski
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    PAMI
    2011
    256views Operations Research» more  PAMI 2011»
    Coded Strobing Photography: Compressive Sensing of High Speed Periodic Videos
    13 years 2 months ago
    Coded Strobing Photography: Compressive Sensing of High Speed Periodic Videos
    Download  www.umiacs.umd.edu
    —We show that, via temporal modulation, one can observe and capture a high-speed periodic video well beyond the abilities of a low-frame-rate camera. By strobing the exposure wit...
    Ashok Veeraraghavan, Dikpal Reddy, Ramesh Raskar
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    SDM
    2011
    SIAM
    370views Data Mining» more  SDM 2011»
    Sparse Latent Semantic Analysis
    12 years 10 months ago
    Sparse Latent Semantic Analysis
    Download  www.cs.cmu.edu
    Latent semantic analysis (LSA), as one of the most popular unsupervised dimension reduction tools, has a wide range of applications in text mining and information retrieval. The k...
    Xi Chen, Yanjun Qi, Bing Bai, Qihang Lin, Jaime G....
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    TIT
    2010
    128views Education» more  TIT 2010»
    Shannon-theoretic limits on noisy compressive sampling
    13 years 2 months ago
    Shannon-theoretic limits on noisy compressive sampling
    Download  www.people.fas.harvard.edu
    In this paper, we study the number of measurements required to recover a sparse signal in M with L nonzero coefficients from compressed samples in the presence of noise. We conside...
    Mehmet Akçakaya, Vahid Tarokh
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    ICIP
    2009
    IEEE
    231views Image Processing» more  ICIP 2009»
    An automatic Structure-Aware image extrapolation applied to error concealment
    13 years 5 months ago
    An automatic Structure-Aware image extrapolation applied to error concealment
    Download  www.theseus.joint-research.org
    A novel framework for spatially estimating unknown image data is presented. Common applications include inpainting, concealment of transmission errors, prediction in video coding,...
    Haricharan Lakshman, Patrick Ndjiki-Nya, Martin K&...
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