Corrigendum: Regularized Least Squares Approximations on the Sphere Using Spherical Designs

Congpei An; Xiaojun Chen; Ian H. Sloan; Robert S. Womersley

doi:10.1137/140962504

Corrigendum: Regularized Least Squares Approximations on the Sphere Using Spherical Designs

SIAM Journal on Numerical Analysis ◽

10.1137/140962504 ◽

2014 ◽

Vol 52 (4) ◽

pp. 2205-2206

Author(s):

Congpei An ◽

Xiaojun Chen ◽

Ian H. Sloan ◽

Robert S. Womersley

Keyword(s):

Least Squares ◽

Spherical Designs ◽

Regularized Least Squares

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Regularized Least Squares Approximations on the Sphere Using Spherical Designs

SIAM Journal on Numerical Analysis ◽

10.1137/110838601 ◽

2012 ◽

Vol 50 (3) ◽

pp. 1513-1534 ◽

Cited By ~ 11

Author(s):

Congpei An ◽

Xiaojun Chen ◽

Ian H. Sloan ◽

Robert S. Womersley

Keyword(s):

Least Squares ◽

Spherical Designs ◽

Regularized Least Squares

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Efficient architectures to recover the regularized least squares solution

IEEE Transactions on Circuits and Systems II Analog and Digital Signal Processing ◽

10.1109/82.769793 ◽

1999 ◽

Vol 46 (6) ◽

pp. 828-831 ◽

Cited By ~ 5

Author(s):

R. Sundaram

Keyword(s):

Least Squares ◽

Regularized Least Squares ◽

Least Squares Solution

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Feature selection for regularized least-squares: New computational short-cuts and fast algorithmic implementations

2010 IEEE International Workshop on Machine Learning for Signal Processing ◽

10.1109/mlsp.2010.5589210 ◽

2010 ◽

Cited By ~ 2

Author(s):

Tapio Pahikkala ◽

Antti Airola ◽

Tapio Salakoski

Keyword(s):

Feature Selection ◽

Least Squares ◽

Regularized Least Squares ◽

Selection For

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Sparse identification of nonlinear dynamical systems via reweighted ℓ1-regularized least squares

Computer Methods in Applied Mechanics and Engineering ◽

10.1016/j.cma.2020.113620 ◽

2021 ◽

Vol 376 ◽

pp. 113620 ◽

Cited By ~ 1

Author(s):

Alexandre Cortiella ◽

Kwang-Chun Park ◽

Alireza Doostan

Keyword(s):

Dynamical Systems ◽

Least Squares ◽

Nonlinear Dynamical Systems ◽

Nonlinear Dynamical ◽

Regularized Least Squares

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A Fast Active Set Block Coordinate Descent Algorithm for $\ell_1$-Regularized Least Squares

SIAM Journal on Optimization ◽

10.1137/141000737 ◽

2016 ◽

Vol 26 (1) ◽

pp. 781-809 ◽

Cited By ~ 11

Author(s):

Marianna De Santis ◽

Stefano Lucidi ◽

Francesco Rinaldi

Keyword(s):

Least Squares ◽

Coordinate Descent ◽

Block Coordinate Descent ◽

Active Set ◽

Descent Algorithm ◽

Regularized Least Squares ◽

Coordinate Descent Algorithm

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DOA Estimation with a Rank-deficient Covariance matrix: A Regularized Least-squares approach

2020 IEEE USNC-CNC-URSI North American Radio Science Meeting (Joint with AP-S Symposium) ◽

10.23919/usnc/ursi49741.2020.9321628 ◽

2020 ◽

Author(s):

Hussain Ali ◽

Tarig Ballal ◽

Tareq Y. Al-Naffouri ◽

Mohammad S. Sharawi

Keyword(s):

Least Squares ◽

Covariance Matrix ◽

Doa Estimation ◽

Regularized Least Squares ◽

Least Squares Approach

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RPC Estimation via $\ell_1$-Norm-Regularized Least Squares (L1LS)

IEEE Transactions on Geoscience and Remote Sensing ◽

10.1109/tgrs.2015.2401602 ◽

2015 ◽

Vol 53 (8) ◽

pp. 4554-4567 ◽

Cited By ~ 23

Author(s):

Tengfei Long ◽

Weili Jiao ◽

Guojin He

Keyword(s):

Least Squares ◽

Regularized Least Squares

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Sparse channel estimation of MIMO-OFDM systems with unconstrained smoothed l0-norm-regularized least squares compressed sensing

EURASIP Journal on Wireless Communications and Networking ◽

10.1186/1687-1499-2013-282 ◽

2013 ◽

Vol 2013 (1) ◽

Cited By ~ 10

Author(s):

Xinrong Ye ◽

Wei-Ping Zhu ◽

Aiqing Zhang ◽

Jun Yan

Keyword(s):

Channel Estimation ◽

Compressed Sensing ◽

Least Squares ◽

Ofdm Systems ◽

Regularized Least Squares ◽

Sparse Channel Estimation ◽

Mimo Ofdm ◽

Sparse Channel

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Regularized Least Squares Fuzzy Support Vector Regression for Time Series Forecasting

The 2006 IEEE International Joint Conference on Neural Network Proceedings ◽

10.1109/ijcnn.2006.246736 ◽

2006 ◽

Cited By ~ 1

Author(s):

Jayadeva ◽

R. Khemchandani ◽

S. Chandra

Keyword(s):

Time Series ◽

Least Squares ◽

Support Vector Regression ◽

Time Series Forecasting ◽

Support Vector ◽

Regularized Least Squares

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Application of ℓp-regularized least squares for 0 ≤ p ≤ 1 in estimating discrete spectrum models from sparse frequency measurements

2010 IEEE International Conference on Acoustics, Speech and Signal Processing ◽

10.1109/icassp.2010.5495769 ◽

2010 ◽

Author(s):

Mu-Hsin Wei ◽

James H. McClellan ◽

Waymond R. Scott

Keyword(s):

Least Squares ◽

Discrete Spectrum ◽

Regularized Least Squares ◽

Frequency Measurements

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