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    CORR
    2010
    Springer
    94views Education» more  CORR 2010»
    The Stability of Low-Rank Matrix Reconstruction: a Constrained Singular Value View
    13 years 3 months ago
    The Stability of Low-Rank Matrix Reconstruction: a Constrained Singular Value View
    Download  research.engineering.wustl.edu
    The stability of low-rank matrix reconstruction is investigated in this paper. The -constrained minimal singular value ( -CMSV) of the measurement operator is shown to determine t...
    Gongguo Tang, Arye Nehorai
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    TKDE
    2012
    270views Formal Methods» more  TKDE 2012»
    Low-Rank Kernel Matrix Factorization for Large-Scale Evolutionary Clustering
    11 years 8 months ago
    Low-Rank Kernel Matrix Factorization for Large-Scale Evolutionary Clustering
    Download  www.cs.wayne.edu
    —Traditional clustering techniques are inapplicable to problems where the relationships between data points evolve over time. Not only is it important for the clustering algorith...
    Lijun Wang, Manjeet Rege, Ming Dong, Yongsheng Din...
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    SIAMMAX
    2010
    164views more  SIAMMAX 2010»
    Uniqueness of Low-Rank Matrix Completion by Rigidity Theory
    13 years 28 days 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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    AAAI
    2012
    231views Intelligent Agents» more  AAAI 2012»
    Learning the Kernel Matrix with Low-Rank Multiplicative Shaping
    11 years 8 months ago
    Learning the Kernel Matrix with Low-Rank Multiplicative Shaping
    Download  www-scf.usc.edu
    Selecting the optimal kernel is an important and difficult challenge in applying kernel methods to pattern recognition. To address this challenge, multiple kernel learning (MKL) ...
    Tomer Levinboim, Fei Sha
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    CVPR
    2007
    IEEE
    182views Computer Vision» more  CVPR 2007»
    Autocalibration via Rank-Constrained Estimation of the Absolute Quadric
    14 years 8 months ago
    Autocalibration via Rank-Constrained Estimation of the Absolute Quadric
    Download  vision.ucsd.edu
    We present an autocalibration algorithm for upgrading a projective reconstruction to a metric reconstruction by estimating the absolute dual quadric. The algorithm enforces the ra...
    Manmohan Krishna Chandraker, Sameer Agarwal, Fredr...
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