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Sparse Linear Regression via Generalized Orthogonal Least-Squares
v1v2 (latest)

Sparse Linear Regression via Generalized Orthogonal Least-Squares

22 February 2016
Abolfazl Hashemi
H. Vikalo
ArXiv (abs)PDFHTML

Papers citing "Sparse Linear Regression via Generalized Orthogonal Least-Squares"

7 / 7 papers shown
Neural Ordinary Differential Equation Model for Evolutionary Subspace
  Clustering and Its Applications
Neural Ordinary Differential Equation Model for Evolutionary Subspace Clustering and Its Applications
Mingyuan Bai
S. Choy
Junping Zhang
Junbin Gao
AI4TS
221
1
0
22 Jul 2021
LSTM-Assisted Evolutionary Self-Expressive Subspace Clustering
LSTM-Assisted Evolutionary Self-Expressive Subspace ClusteringInternational Journal of Machine Learning and Cybernetics (IJMLC), 2019
Di Xu
Tianhang Long
Junbin Gao
140
2
0
19 Oct 2019
Evolutionary Self-Expressive Models for Subspace Clustering
Evolutionary Self-Expressive Models for Subspace Clustering
Abolfazl Hashemi
H. Vikalo
275
11
0
29 Oct 2018
Sampling and Reconstruction of Graph Signals via Weak Submodularity and
  Semidefinite Relaxation
Sampling and Reconstruction of Graph Signals via Weak Submodularity and Semidefinite Relaxation
Abolfazl Hashemi
Rasoul Shafipour
H. Vikalo
Gonzalo Mateos
139
6
0
31 Oct 2017
Accelerated Sparse Subspace Clustering
Accelerated Sparse Subspace Clustering
Abolfazl Hashemi
H. Vikalo
248
6
0
31 Oct 2017
Sparse recovery via Orthogonal Least-Squares under presence of Noise
Sparse recovery via Orthogonal Least-Squares under presence of Noise
Abolfazl Hashemi
H. Vikalo
195
2
0
08 Aug 2016
Sampling Requirements and Accelerated Schemes for Sparse Linear
  Regression with Orthogonal Least-Squares
Sampling Requirements and Accelerated Schemes for Sparse Linear Regression with Orthogonal Least-Squares
Abolfazl Hashemi
H. Vikalo
266
4
0
08 Aug 2016
1
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