Crossref Citations
This Book has been
cited by the following publications. This list is generated based on data provided by Crossref.
Corsi, Marie-Constance
Chevallier, Sylvain
Fallani, Fabrizio De Vico
and
Yger, Florian
2022.
Functional Connectivity Ensemble Method to Enhance BCI Performance (FUCONE).
IEEE Transactions on Biomedical Engineering,
Vol. 69,
Issue. 9,
p.
2826.
Zhang, Yetong
Chen, Gerry
Rutkowski, Adam
and
Dellaert, Frank
2022.
Efficient Range-Constraint Manifold Optimization with Application to Cooperative Navigation.
p.
9950.
Cheng, Ziyang
and
Liao, Bin
2022.
QoS-Aware Hybrid Beamforming and DOA Estimation in Multi-Carrier Dual-Function Radar-Communication Systems.
IEEE Journal on Selected Areas in Communications,
Vol. 40,
Issue. 6,
p.
1890.
Qiu, Xiangfeng
Jiang, Weidong
Zhang, Xinyu
and
Huo, Kai
2022.
Quartic Riemannian Trust Region Algorithm for Cognitive Radar Ambiguity Function Shaping.
IEEE Geoscience and Remote Sensing Letters,
Vol. 19,
Issue. ,
p.
1.
Bergmann, Ronny
2022.
Manopt.jl: Optimization on Manifolds in Julia.
Journal of Open Source Software,
Vol. 7,
Issue. 70,
p.
3866.
Lai, Zhijian
and
Yoshise, Akiko
2022.
Completely positive factorization by a Riemannian smoothing method.
Computational Optimization and Applications,
Vol. 83,
Issue. 3,
p.
933.
Sato, Hiroyuki
2022.
Riemannian Conjugate Gradient Methods: General Framework and Specific Algorithms with Convergence Analyses.
SIAM Journal on Optimization,
Vol. 32,
Issue. 4,
p.
2690.
Zhong, Kai
Hu, Jinfeng
Pan, Cunhua
Yu, Xianxiang
and
Li, Xinghe
2022.
MIMO Radar Beampattern Design Based on Manifold Optimization Method.
IEEE Communications Letters,
Vol. 26,
Issue. 5,
p.
1086.
Zhong, Kai
Hu, Jinfeng
Cong, Yang
Cui, Guolong
and
Hu, Haotian
2022.
RMOCG: A Riemannian Manifold Optimization-Based Conjugate Gradient Method for Phase-Only Beamforming Synthesis.
IEEE Antennas and Wireless Propagation Letters,
Vol. 21,
Issue. 8,
p.
1625.
Lin, Tian
Yu, Xianghao
Zhu, Yu
and
Schober, Robert
2022.
Channel Estimation for IRS-Assisted Millimeter-Wave MIMO Systems: Sparsity-Inspired Approaches.
IEEE Transactions on Communications,
Vol. 70,
Issue. 6,
p.
4078.
Feres, Carlos
and
Ding, Zhi
2022.
A Riemannian Geometric Approach to Blind Signal Recovery for Grant-Free Radio Network Access.
IEEE Transactions on Signal Processing,
Vol. 70,
Issue. ,
p.
1734.
Kraisler, Spencer
Talebi, Shahriar
and
Mesbahi, Mehran
2023.
Consensus on Lie Groups for the Riemannian Center of Mass.
p.
4461.
Li, Qiuwei
McKenzie, Daniel
and
Yin, Wotao
2023.
From the simplex to the sphere: faster constrained optimization using the Hadamard parametrization.
Information and Inference: A Journal of the IMA,
Vol. 12,
Issue. 3,
p.
1898.
Pan, Han
Jing, Zhongliang
Leung, Henry
Peng, Pai
and
Zhang, Hao
2023.
Multiband Image Fusion via Regularization on a Riemannian Submanifold.
Remote Sensing,
Vol. 15,
Issue. 18,
p.
4370.
Najafi, Shahabeddin
and
Hajarian, Masoud
2023.
Multiobjective Conjugate Gradient Methods on Riemannian Manifolds.
Journal of Optimization Theory and Applications,
Vol. 197,
Issue. 3,
p.
1229.
Mor, Uria
Shustin, Boris
and
Avron, Haim
2023.
Solving trust region subproblems using Riemannian optimization.
Numerische Mathematik,
Vol. 154,
Issue. 1-2,
p.
1.
Jongeneel, Wouter
and
Moulay, Emmanuel
2023.
Topological Obstructions to Stability and Stabilization.
p.
77.
Levin, Eitan
Kileel, Joe
and
Boumal, Nicolas
2023.
Finding stationary points on bounded-rank matrices: a geometric hurdle and a smooth remedy.
Mathematical Programming,
Vol. 199,
Issue. 1-2,
p.
831.
Collas, Antoine
Breloy, Arnaud
Ren, Chengfang
Ginolhac, Guillaume
and
Ovarlez, Jean-Philippe
2023.
Riemannian Optimization for Non-Centered Mixture of Scaled Gaussian Distributions.
IEEE Transactions on Signal Processing,
Vol. 71,
Issue. ,
p.
2475.
Grapiglia, Geovani N.
and
Stella, Gabriel F. D.
2023.
An Adaptive Riemannian Gradient Method Without Function Evaluations.
Journal of Optimization Theory and Applications,
Vol. 197,
Issue. 3,
p.
1140.