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Preconditioned Data Sparsification for Big Data with Applications to PCA
  and K-means
v1v2v3 (latest)

Preconditioned Data Sparsification for Big Data with Applications to PCA and K-means

31 October 2015
Farhad Pourkamali Anaraki
Stephen Becker
ArXiv (abs)PDFHTML

Papers citing "Preconditioned Data Sparsification for Big Data with Applications to PCA and K-means"

20 / 20 papers shown
Title
D-CBRS: Accounting For Intra-Class Diversity in Continual Learning
D-CBRS: Accounting For Intra-Class Diversity in Continual Learning
Yasin Findik
Farhad Pourkamali-Anaraki
23
1
0
13 Jul 2022
An Improved Frequent Directions Algorithm for Low-Rank Approximation via
  Block Krylov Iteration
An Improved Frequent Directions Algorithm for Low-Rank Approximation via Block Krylov Iteration
Chenhao Wang
Qianxin Yi
Xiuwu Liao
Yao Wang
60
2
0
24 Sep 2021
An Empirical Evaluation of the t-SNE Algorithm for Data Visualization in
  Structural Engineering
An Empirical Evaluation of the t-SNE Algorithm for Data Visualization in Structural Engineering
P. Hajibabaee
Farhad Pourkamali Anaraki
M. A. Hariri-Ardebili
48
34
0
18 Sep 2021
Effective Data-aware Covariance Estimator from Compressed Data
Effective Data-aware Covariance Estimator from Compressed Data
Xixian Chen
Haiqin Yang
Shenglin Zhao
Michael R. Lyu
Irwin King
23
4
0
10 Oct 2020
Making Online Sketching Hashing Even Faster
Making Online Sketching Hashing Even Faster
Xixian Chen
Haiqin Yang
Shenglin Zhao
Michael R. Lyu
Irwin King
17
22
0
10 Oct 2020
Spectral estimation from simulations via sketching
Spectral estimation from simulations via sketching
Zhishen Huang
Stephen Becker
14
2
0
21 Jul 2020
Scalable Spectral Clustering with Nystrom Approximation: Practical and
  Theoretical Aspects
Scalable Spectral Clustering with Nystrom Approximation: Practical and Theoretical Aspects
Farhad Pourkamali Anaraki
48
13
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
16
0
0
07 Jun 2020
Stable Sparse Subspace Embedding for Dimensionality Reduction
Stable Sparse Subspace Embedding for Dimensionality Reduction
Li Chen
Shuizheng Zhou
Jiajun Ma
13
6
0
07 Feb 2020
The Effectiveness of Variational Autoencoders for Active Learning
The Effectiveness of Variational Autoencoders for Active Learning
Farhad Pourkamali-Anaraki
M. Wakin
DRL
53
4
0
18 Nov 2019
Covariance Matrix Estimation with Non Uniform and Data Dependent Missing
  Observations
Covariance Matrix Estimation with Non Uniform and Data Dependent Missing Observations
Eduardo Pavez
Antonio Ortega
64
18
0
01 Oct 2019
Large-Scale Sparse Subspace Clustering Using Landmarks
Large-Scale Sparse Subspace Clustering Using Landmarks
Farhad Pourkamali-Anaraki
80
4
0
02 Aug 2019
Importance of Small Probability Events in Big Data: Information
  Measures, Applications, and Challenges
Importance of Small Probability Events in Big Data: Information Measures, Applications, and Challenges
R. She
Shanyun Liu
Shuo Wan
Ke Xiong
Pingyi Fan
61
12
0
05 Jul 2019
One-Pass Sparsified Gaussian Mixtures
One-Pass Sparsified Gaussian Mixtures
E. Kightley
Stephen Becker
19
1
0
10 Mar 2019
Efficient Solvers for Sparse Subspace Clustering
Efficient Solvers for Sparse Subspace Clustering
Farhad Pourkamali Anaraki
James Folberth
Stephen Becker
59
33
0
17 Apr 2018
A Switch to the Concern of User: Importance Coefficient in Utility
  Distribution and Message Importance Measure
A Switch to the Concern of User: Importance Coefficient in Utility Distribution and Message Importance Measure
Shanyun Liu
R. She
Shuo Wan
Pingyi Fan
Yunquan Dong
15
3
0
26 Mar 2018
Non-parametric Message Important Measure: Storage Code Design and
  Transmission Planning for Big Data
Non-parametric Message Important Measure: Storage Code Design and Transmission Planning for Big Data
Shanyun Liu
R. She
Pingyi Fan
Khaled B. Letaief
31
20
0
29 Sep 2017
Improved Fixed-Rank Nyström Approximation via QR Decomposition:
  Practical and Theoretical Aspects
Improved Fixed-Rank Nyström Approximation via QR Decomposition: Practical and Theoretical Aspects
Farhad Pourkamali Anaraki
Stephen Becker
47
24
0
08 Aug 2017
Sketched Subspace Clustering
Sketched Subspace Clustering
Panagiotis A. Traganitis
G. Giannakis
77
51
0
22 Jul 2017
Randomized Clustered Nystrom for Large-Scale Kernel Machines
Randomized Clustered Nystrom for Large-Scale Kernel Machines
Farhad Pourkamali Anaraki
Stephen Becker
80
33
0
20 Dec 2016
1