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    JMLR
    2010
    158views more  JMLR 2010»
    Restricted Eigenvalue Properties for Correlated Gaussian Designs
    13 years 4 months ago
    Restricted Eigenvalue Properties for Correlated Gaussian Designs
    Download  www.eecs.berkeley.edu
    Methods based on 1-relaxation, such as basis pursuit and the Lasso, are very popular for sparse regression in high dimensions. The conditions for success of these methods are now ...
    Garvesh Raskutti, Martin J. Wainwright, Bin Yu
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    SIAMIS
    2010
    283views more  SIAMIS 2010»
    A General Framework for a Class of First Order Primal-Dual Algorithms for Convex Optimization in Imaging Science
    13 years 4 months ago
    A General Framework for a Class of First Order Primal-Dual Algorithms for Convex Optimization in Imaging Science
    Download  www.math.uci.edu
    We generalize the primal-dual hybrid gradient (PDHG) algorithm proposed by Zhu and Chan in [M. Zhu, and T. F. Chan, An Efficient Primal-Dual Hybrid Gradient Algorithm for Total Var...
    Ernie Esser, Xiaoqun Zhang, Tony F. Chan
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    CLUSTER
    2004
    IEEE
    109views Distributed And Parallel Com...» more  CLUSTER 2004»
    An efficient end-host architecture for cluster communication
    14 years 1 months ago
    An efficient end-host architecture for cluster communication
    Download  cs-www.bu.edu
    Cluster computing environments built from commodity hardware have provided a cost-effective solution for many scientific and high-performance applications. Likewise, middleware te...
    Xin Qi, Gabriel Parmer, Richard West
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    ESANN
    2006
    262views Neural Networks» more  ESANN 2006»
    Random Forests Feature Selection with K-PLS: Detecting Ischemia from Magnetocardiograms
    13 years 11 months ago
    Random Forests Feature Selection with K-PLS: Detecting Ischemia from Magnetocardiograms
    Download  www.dice.ucl.ac.be
    Random Forests were introduced by Breiman for feature (variable) selection and improved predictions for decision tree models. The resulting model is often superior to AdaBoost and ...
    Long Han, Mark J. Embrechts, Boleslaw K. Szymanski...
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    ICCV
    2009
    IEEE
    638views Computer Vision» more  ICCV 2009»
    Time Series Prediction by Chaotic Modeling of Nonlinear Dynamical Systems
    15 years 2 months ago
    Time Series Prediction by Chaotic Modeling of Nonlinear Dynamical Systems
    Download  eecs.ucf.edu
    We use concepts from chaos theory in order to model nonlinear dynamical systems that exhibit deterministic behavior. Observed time series from such a system can be embedded into...
    Arslan Basharat, Mubarak Shah
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