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Sparse Generalized Eigenvalue Problem via Smooth Optimization
v1v2 (latest)

Sparse Generalized Eigenvalue Problem via Smooth Optimization

28 August 2014
Junxiao Song
P. Babu
Daniel P. Palomar
ArXiv (abs)PDFHTML

Papers citing "Sparse Generalized Eigenvalue Problem via Smooth Optimization"

11 / 11 papers shown
Title
Generalized Eigenvalue Problems with Generative Priors
Generalized Eigenvalue Problems with Generative Priors
Zhaoqiang Liu
Wen Li
Junren Chen
93
2
0
02 Nov 2024
Optimizing Sparse Generalized Singular Vectors for Feature Selection in
  Proximal Support Vector Machines with Application to Breast and Ovarian
  Cancer Detection
Optimizing Sparse Generalized Singular Vectors for Feature Selection in Proximal Support Vector Machines with Application to Breast and Ovarian Cancer Detection
Ugochukwu O. Ugwu
Michael Kirby
21
0
0
04 Oct 2024
RU-Net: Regularized Unrolling Network for Scene Graph Generation
RU-Net: Regularized Unrolling Network for Scene Graph Generation
Xin Lin
Changxing Ding
Jing Zhang
Yibing Zhan
Dacheng Tao
81
34
0
03 May 2022
Sparse Quadratic Optimisation over the Stiefel Manifold with Application
  to Permutation Synchronisation
Sparse Quadratic Optimisation over the Stiefel Manifold with Application to Permutation Synchronisation
Florian Bernard
Daniel Cremers
J. Thunberg
147
11
0
30 Sep 2021
An iterative coordinate descent algorithm to compute sparse low-rank
  approximations
An iterative coordinate descent algorithm to compute sparse low-rank approximations
Cristian Rusu
26
0
0
30 Jul 2021
An Inverse-free Truncated Rayleigh-Ritz Method for Sparse Generalized
  Eigenvalue Problem
An Inverse-free Truncated Rayleigh-Ritz Method for Sparse Generalized Eigenvalue Problem
Yunfeng Cai
P. Li
21
5
0
24 Mar 2020
Structured Graph Learning Via Laplacian Spectral Constraints
Structured Graph Learning Via Laplacian Spectral Constraints
Sandeep Kumar
Jiaxi Ying
J. Cardoso
Daniel P. Palomar
120
58
0
24 Sep 2019
Multi-Rank Sparse and Functional PCA: Manifold Optimization and
  Iterative Deflation Techniques
Multi-Rank Sparse and Functional PCA: Manifold Optimization and Iterative Deflation Techniques
Michael Weylandt
48
4
0
28 Jul 2019
A Unified Framework for Structured Graph Learning via Spectral
  Constraints
A Unified Framework for Structured Graph Learning via Spectral Constraints
Sandeep Kumar
Jiaxi Ying
José Vinícius de Miranda Cardoso
Daniel P. Palomar
88
115
0
22 Apr 2019
Parallel and Distributed Successive Convex Approximation Methods for
  Big-Data Optimization
Parallel and Distributed Successive Convex Approximation Methods for Big-Data Optimization
G. Scutari
Ying Sun
103
64
0
17 May 2018
Orthogonal Sparse PCA and Covariance Estimation via Procrustes
  Reformulation
Orthogonal Sparse PCA and Covariance Estimation via Procrustes Reformulation
Konstantinos Benidis
Ying Sun
P. Babu
Daniel P. Palomar
204
56
0
12 Feb 2016
1