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    ICASSP
    2010
    IEEE
    178views Signal Processing» more  ICASSP 2010»
    A novel, fast, and complete 3D segmentation of vertebral bones
    13 years 6 months ago
    A novel, fast, and complete 3D segmentation of vertebral bones
    Download  www.cvip.uofl.edu
    Bone mineral density (BMD) measurements and fracture analysis of the spine bones are restricted to the Vertebral bodies (VBs), especially the trabecular bones (TBs). In this paper...
    Melih S. Aslan, Asem M. Ali, Ham Rara, Ben Arnold,...
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    PR
    2008
    202views more  PR 2008»
    Building compact MQDF classifier for large character set recognition by subspace distribution sharing
    13 years 6 months ago
    Building compact MQDF classifier for large character set recognition by subspace distribution sharing
    Download  www.hcii-lab.net
    Quadratic classifier with modified quadratic discriminant function (MQDF) has been successfully applied to recognition of handwritten characters to achieve very good performance. ...
    Teng Long, Lianwen Jin
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    TFS
    2008
    129views more  TFS 2008»
    A Functional-Link-Based Neurofuzzy Network for Nonlinear System Control
    13 years 6 months ago
    A Functional-Link-Based Neurofuzzy Network for Nonlinear System Control
    Download  ir.lib.ncut.edu.tw
    Abstract--This study presents a functional-link-based neurofuzzy network (FLNFN) structure for nonlinear system control. The proposed FLNFN model uses a functional link neural netw...
    Cheng-Hung Chen, Cheng-Jian Lin, Chin-Teng Lin
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    JMLR
    2010
    195views more  JMLR 2010»
    Online Learning for Matrix Factorization and Sparse Coding
    13 years 6 months ago
    Online Learning for Matrix Factorization and Sparse Coding
    Download  hal.inria.fr
    Sparse coding—that is, modelling data vectors as sparse linear combinations of basis elements—is widely used in machine learning, neuroscience, signal processing, and statisti...
    Julien Mairal, Francis Bach, Jean Ponce, Guillermo...
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    CORR
    2010
    Springer
    115views Education» more  CORR 2010»
    Tight oracle bounds for low-rank matrix recovery from a minimal number of random measurements
    13 years 6 months ago
    Tight oracle bounds for low-rank matrix recovery from a minimal number of random measurements
    Download  www-stat.stanford.edu
    This paper presents several novel theoretical results regarding the recovery of a low-rank matrix from just a few measurements consisting of linear combinations of the matrix entr...
    Emmanuel J. Candès, Yaniv Plan
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