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    Block Algorithms with Augmented Rayleigh-Ritz Projections for Large-Scale Eigenpair Computation 

    Wen, Zaiwen; Zhang, Yin (2015-06)
    Most iterative algorithms for eigenpair computation consist of two main steps: a subspace update (SU) step that generates bases for approximate eigenspaces, followed by a Rayleigh-Ritz (RR) projection step that extracts ...
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    A Feasible Method for Optimization with Orthogonality Constraints 

    Wen, Zaiwen; Yin, Wotao (2010-11)
    Minimization with orthogonality constraints (e.g., X'X = I) and/or spherical constraints (e.g., ||x||_2 = 1) has wide applications in polynomial optimization, combinatorial optimization, eigenvalue problems, sparse PCA, ...
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    Dynamic Compressive Spectrum Sensing for Cognitive Radio Networks 

    Yin, Wotao; Wen, Zaiwen; Li, Shuyi; Meng, Jia (Jasmine); Han, Zhu (2011-01)
    In the recently proposed collaborative compressive sensing, the cognitive radios (CRs) sense the occupied spectrum channels by measuring linear combinations of channel powers, instead of sweeping a set of channels sequentially. ...
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    Limited Memory Block Krylov Subspace Optimization for Computing Dominant Singular Value Decompositions 

    Liu, Xin; Wen, Zaiwen; Zhang, Yin (2012-03)
    In many data-intensive applications, the use of principal component analysis (PCA) and other related techniques is ubiquitous for dimension reduction, data mining or other transformational purposes. Such transformations ...
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    A Curvilinear Search Method for p-Harmonic Flows on Spheres 

    Goldfarb, Donald; Wen, Zaiwen; Yin, Wotao (2008-01)
    The problem of finding p-harmonic flows arises in a wide range of applications including micromagnetics, liquid crystal theory, directional diffusion, and chromaticity denoising. In this paper, we propose an innovative ...
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    Trust, But Verify: Fast and Accurate Signal Recovery from 1-bit Compressive Measurements 

    Laska, Jason N.; Wen, Zaiwen; Yin, Wotao; Baraniuk, Richard G. (2010-11)
    The recently emerged compressive sensing (CS) framework aims to acquire signals at reduced sample rates compared to the classical Shannon-Nyquist rate. To date, the CS theory has assumed primarily real-valued measurements; ...
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    An Efficient Gauss-Newton Algorithm for Symmetric Low-Rank Product Matrix Approximatins 

    Liu, Xin; Wen, Zaiwen; Zhang,Yin (2014-05)
    We derive and study a Gauss-Newton method for computing the symmetric low-rank product (SLRP) XXT, where X / Rnkfor k<n, that is the closest approximation to a given symmetric matrix A / Rnn in Frobenius norm. When A=BTB ...
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    Solving a Low-Rank Factorization Model for Matrix Completion by a Non-linear Successive Over-Relaxation Algorithm 

    Wen, Zaiwen; Yin, Wotao; Zhang, Yin (2010-03)
    The matrix completion problem is to recover a low-rank matrix from a subset of its entries. The main solution strategy for this problem has been based on nuclear-norm minimization which requires computing singular value ...
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    Decentralized Jointly Sparse Optimization by Reweighted Lq Minimization 

    Ling, Qing; Wen, Zaiwen; Yin, Wotao (2012-02)
    A set of vectors (or signals) are jointly sparse if their nonzero entries are commonly supported on a small subset of locations. Consider a network of agents which collaborative recover a set of joint sparse vectors. This ...
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    An Alternating Direction Algorithm for Matrix Completion with Nonnegative Factors 

    Xu, Yangyang; Yin, Wotao; Wen, Zaiwen; Zhang, Yin (2011-01)
    This paper introduces a novel algorithm for the nonnegative matrix factorization and completion problem, which aims to nd nonnegative matrices X and Y from a subset of entries of a nonnegative matrix M so that XY approximates ...
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    Wen, Zaiwen (14)
    Yin, Wotao (8)Zhang, Yin (7)Liu, Xin (3)Goldfarb, Donald (2)Baraniuk, Richard G. (1)Han, Zhu (1)Laska, Jason N. (1)Li, Shuyi (1)Ling, Qing (1)... View MoreDate Issued2010 (3)2011 (3)2012 (2)2008 (1)2009 (1)2013 (1)2014 (1)2015 (1)2016 (1)Has File(s)Yes (14)

    Home | FAQ | Contact Us
    Managed by the Digital Scholarship Services at Fondren Library, Rice University
    Physical Address: 6100 Main Street, Houston, Texas 77005
    Mailing Address: MS-44, P.O.BOX 1892, Houston, Texas 77251-1892