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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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    TNN
    2010
    148views Management» more  TNN 2010»
    Generalized low-rank approximations of matrices revisited
    13 years 2 months ago
    Generalized low-rank approximations of matrices revisited
    Download  parnec.nuaa.edu.cn
    Compared to Singular Value Decomposition (SVD), Generalized Low Rank Approximations of Matrices (GLRAM) can consume less computation time, obtain higher compression ratio, and yiel...
    Jun Liu, Songcan Chen, Zhi-Hua Zhou, Xiaoyang Tan
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    TPDS
    2010
    154views more  TPDS 2010»
    Adaptive Workload Prediction of Grid Performance in Confidence Windows
    13 years 2 months ago
    Adaptive Workload Prediction of Grid Performance in Confidence Windows
    Download  gridsec.usc.edu
    Predicting grid performance is a complex task because heterogeneous resource nodes are involved in a distributed environment. Long execution workload on a grid is even harder to pr...
    Yongwei Wu, Kai Hwang, Yulai Yuan, Weimin Zheng
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    TSP
    2010
    175views Artificial Intelligence» more  TSP 2010»
    Variance-component based sparse signal reconstruction and model selection
    13 years 2 months ago
    Variance-component based sparse signal reconstruction and model selection
    Download  home.eng.iastate.edu
    We propose a variance-component probabilistic model for sparse signal reconstruction and model selection. The measurements follow an underdetermined linear model, where the unknown...
    Kun Qiu, Aleksandar Dogandzic
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    TSP
    2010
    156views Artificial Intelligence» more  TSP 2010»
    Low complexity equalization for doubly selective channels modeled by a basis expansion
    13 years 2 months ago
    Low complexity equalization for doubly selective channels modeled by a basis expansion
    Download  publik.tuwien.ac.at
    We propose a novel equalization method for doubly selective wireless channels, whose taps are represented by an arbitrary Basis Expansion Model (BEM). We view such a channel in the...
    Tomasz Hrycak, Saptarshi Das, Gerald Matz, Hans G....
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