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Self-Dictionary Sparse Regression for Hyperspectral Unmixing: Greedy
  Pursuit and Pure Pixel Search are Related
v1v2 (latest)

Self-Dictionary Sparse Regression for Hyperspectral Unmixing: Greedy Pursuit and Pure Pixel Search are Related

15 September 2014
Xiao Fu
Wing-Kin Ma
Tsung-Han Chan
J. Bioucas-Dias
ArXiv (abs)PDFHTML

Papers citing "Self-Dictionary Sparse Regression for Hyperspectral Unmixing: Greedy Pursuit and Pure Pixel Search are Related"

14 / 14 papers shown
Title
Provable Subspace Identification Under Post-Nonlinear Mixtures
Provable Subspace Identification Under Post-Nonlinear Mixtures
Qi Lyu
Xiao Fu
CoGe
65
0
0
14 Oct 2022
Separable Quaternion Matrix Factorization for Polarization Images
Separable Quaternion Matrix Factorization for Polarization Images
Junjun Pan
Michael K. Ng
56
8
0
28 Jul 2022
Fast and Structured Block-Term Tensor Decomposition For Hyperspectral
  Unmixing
Fast and Structured Block-Term Tensor Decomposition For Hyperspectral Unmixing
Meng Ding
Xiao Fu
Xile Zhao
68
11
0
08 May 2022
Co-Separable Nonnegative Matrix Factorization
Co-Separable Nonnegative Matrix Factorization
Junjun Pan
Michael K. Ng
65
1
0
02 Sep 2021
Deep Spectrum Cartography: Completing Radio Map Tensors Using Learned
  Neural Models
Deep Spectrum Cartography: Completing Radio Map Tensors Using Learned Neural Models
S. Shrestha
Xiao Fu
Min-Fong Hong
68
52
0
01 May 2021
Hyperspectral Denoising Using Unsupervised Disentangled Spatio-Spectral
  Deep Priors
Hyperspectral Denoising Using Unsupervised Disentangled Spatio-Spectral Deep Priors
Yuchun Miao
Xile Zhao
Xiao Fu
Jian-Li Wang
Yu-Bang Zheng
84
40
0
24 Feb 2021
Recovering Joint Probability of Discrete Random Variables from Pairwise
  Marginals
Recovering Joint Probability of Discrete Random Variables from Pairwise Marginals
Shahana Ibrahim
Xiao Fu
146
13
0
30 Jun 2020
On Recoverability of Randomly Compressed Tensors with Low CP Rank
On Recoverability of Randomly Compressed Tensors with Low CP Rank
Shahana Ibrahim
Xiao Fu
Xingguo Li
74
4
0
08 Jan 2020
Crowdsourcing via Pairwise Co-occurrences: Identifiability and
  Algorithms
Crowdsourcing via Pairwise Co-occurrences: Identifiability and Algorithms
Shahana Ibrahim
Xiao Fu
Nikos Kargas
Kejun Huang
FedML
42
33
0
26 Sep 2019
Penalized matrix decomposition for denoising, compression, and improved
  demixing of functional imaging data
Penalized matrix decomposition for denoising, compression, and improved demixing of functional imaging data
E. Kelly Buchanan
Ian Kinsella
Ding Zhou
Rong Zhu
Pengcheng Zhou
...
Graham T Dempsey
E. Hillman
Na Ji
A. Tolias
Liam Paninski
58
40
0
17 Jul 2018
Nonnegative Matrix Factorization for Signal and Data Analytics:
  Identifiability, Algorithms, and Applications
Nonnegative Matrix Factorization for Signal and Data Analytics: Identifiability, Algorithms, and Applications
Xiao Fu
Kejun Huang
N. Sidiropoulos
Wing-Kin Ma
79
204
0
03 Mar 2018
On Identifiability of Nonnegative Matrix Factorization
On Identifiability of Nonnegative Matrix Factorization
Xiao Fu
Kejun Huang
N. Sidiropoulos
85
95
0
02 Sep 2017
Shapelet-based Sparse Representation for Landcover Classification of
  Hyperspectral Images
Shapelet-based Sparse Representation for Landcover Classification of Hyperspectral Images
R. Roscher
B. Waske
30
35
0
20 Aug 2017
Robust Volume Minimization-Based Matrix Factorization for Remote Sensing
  and Document Clustering
Robust Volume Minimization-Based Matrix Factorization for Remote Sensing and Document Clustering
Xiao Fu
Kejun Huang
Bo Yang
Wing-Kin Ma
N. Sidiropoulos
59
103
0
15 Aug 2016
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