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Improved Fixed-Rank Nyström Approximation via QR Decomposition:
  Practical and Theoretical Aspects
v1v2 (latest)

Improved Fixed-Rank Nyström Approximation via QR Decomposition: Practical and Theoretical Aspects

8 August 2017
Farhad Pourkamali Anaraki
Stephen Becker
ArXiv (abs)PDFHTML

Papers citing "Improved Fixed-Rank Nyström Approximation via QR Decomposition: Practical and Theoretical Aspects"

10 / 10 papers shown
SlimDiff: Training-Free, Activation-Guided Hands-free Slimming of Diffusion Models
SlimDiff: Training-Free, Activation-Guided Hands-free Slimming of Diffusion Models
Arani Roy
Shristi Das Biswas
Kaushik Roy
212
0
0
25 Sep 2025
Probabilistic Neural Networks (PNNs) for Modeling Aleatoric Uncertainty
  in Scientific Machine Learning
Probabilistic Neural Networks (PNNs) for Modeling Aleatoric Uncertainty in Scientific Machine Learning
Farhad Pourkamali-Anaraki
Jamal F. Husseini
Scott E. Stapleton
UD
334
7
0
21 Feb 2024
Boosting Nyström Method
Boosting Nyström Method
Keaton Hamm
Zhaoying Lu
Wenbo Ouyang
Hao Helen Zhang
264
0
0
21 Feb 2023
Rapid Robust Principal Component Analysis: CUR Accelerated Inexact Low
  Rank Estimation
Rapid Robust Principal Component Analysis: CUR Accelerated Inexact Low Rank Estimation
HanQin Cai
Keaton Hamm
Longxiu Huang
Jiaqi Li
Tao Wang
413
54
0
14 Oct 2020
Kernel Ridge Regression Using Importance Sampling with Application to
  Seismic Response Prediction
Kernel Ridge Regression Using Importance Sampling with Application to Seismic Response PredictionInternational Conference on Machine Learning and Applications (ICMLA), 2020
Farhad Pourkamali Anaraki
M. A. Hariri-Ardebili
Lydia Morawiec
173
9
0
19 Sep 2020
Scalable Spectral Clustering with Nystrom Approximation: Practical and
  Theoretical Aspects
Scalable Spectral Clustering with Nystrom Approximation: Practical and Theoretical Aspects
Farhad Pourkamali Anaraki
373
21
0
25 Jun 2020
Unsupervised Learning for Subterranean Junction Recognition Based on 2D
  Point Cloud
Unsupervised Learning for Subterranean Junction Recognition Based on 2D Point Cloud
Sina Sharif Mansouri
Farhad Pourkamali Anaraki
Miguel Castano Arranz
Ali-akbar Agha-mohammadi
J. W. Burdick
G. Nikolakopoulos
3DPC
151
0
0
07 Jun 2020
The Effectiveness of Variational Autoencoders for Active Learning
The Effectiveness of Variational Autoencoders for Active Learning
Farhad Pourkamali-Anaraki
M. Wakin
DRL
159
4
0
18 Nov 2019
CUR Decompositions, Approximations, and Perturbations
CUR Decompositions, Approximations, and Perturbations
Keaton Hamm
Longxiu Huang
251
3
0
22 Mar 2019
Randomized Clustered Nystrom for Large-Scale Kernel Machines
Randomized Clustered Nystrom for Large-Scale Kernel MachinesAAAI Conference on Artificial Intelligence (AAAI), 2016
Farhad Pourkamali Anaraki
Stephen Becker
316
34
0
20 Dec 2016
1
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