Regularized least squares fisher linear discriminant with applications to image recognition

Neurocomputing ◽

10.1016/j.neucom.2013.05.006 ◽

2013 ◽

Vol 122 ◽

pp. 521-534 ◽

Author(s):

Xiaobo Chen ◽

Jian Yang ◽

Qirong Mao ◽

Fei Han

Keyword(s):

Least Squares ◽

Image Recognition ◽

Fisher Linear Discriminant ◽

Linear Discriminant ◽

Regularized Least Squares

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Regularized least squares locality preserving projections with applications to image recognition

Neural Networks ◽

10.1016/j.neunet.2020.05.023 ◽

2020 ◽

Vol 128 ◽

pp. 322-330 ◽

Author(s):

Wei Wei ◽

Hua Dai ◽

Weitai Liang

Keyword(s):

Least Squares ◽

Image Recognition ◽

Regularized Least Squares ◽

Locality Preserving Projections ◽

Locality Preserving

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Fisher Linear Discriminant Analysis and Connectionist Model for Efficient Image Recognition

Studies in Computational Intelligence - Speech, Audio, Image and Biomedical Signal Processing using Neural Networks ◽

10.1007/978-3-540-75398-8_12 ◽

2008 ◽

pp. 269-282 ◽

Author(s):

V N Manjunath Aradhya ◽

G Hemantha Kumar ◽

S Noushath

Keyword(s):

Discriminant Analysis ◽

Linear Discriminant Analysis ◽

Image Recognition ◽

Connectionist Model ◽

Fisher Linear Discriminant ◽

Linear Discriminant ◽

Fisher Linear Discriminant Analysis

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Ultra-High Frequency Partial Discharge Signal Recognition in GIS based on Fisher Linear Discriminant Theory

IOP Conference Series Earth and Environmental Science ◽

10.1088/1755-1315/617/1/012025 ◽

2020 ◽

Vol 617 ◽

pp. 012025

Author(s):

Pei Xudong ◽

Pei Xubing ◽

Xu Haiqi

Keyword(s):

High Frequency ◽

Partial Discharge ◽

Signal Recognition ◽

Fisher Linear Discriminant ◽

Linear Discriminant ◽

Ultra High Frequency

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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 ◽

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 ◽

Author(s):

Tapio Pahikkala ◽

Antti Airola ◽

Tapio Salakoski

Keyword(s):

Feature Selection ◽

Least Squares ◽

Regularized Least Squares ◽

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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 ◽

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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Face recognition using recursive Fisher linear discriminant

IEEE Transactions on Image Processing ◽

10.1109/tip.2006.875225 ◽

2006 ◽

Vol 15 (8) ◽

pp. 2097-2105 ◽

Author(s):

C. Xiang ◽

X.A. Fan ◽

T.H. Lee

Keyword(s):

Face Recognition ◽

Fisher Linear Discriminant ◽

Linear Discriminant

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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 ◽

Author(s):

Marianna De Santis ◽

Stefano Lucidi ◽

Francesco Rinaldi

Keyword(s):

Least Squares ◽

Coordinate Descent ◽

Block Coordinate Descent ◽

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 ◽

Author(s):

Tengfei Long ◽

Weili Jiao ◽

Guojin He

Keyword(s):

Least Squares ◽

Regularized Least Squares

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