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Joint & Progressive Learning from High-Dimensional Data for Multi-Label
  Classification

Joint & Progressive Learning from High-Dimensional Data for Multi-Label Classification

15 August 2018
Danfeng Hong
Naoto Yokoya
Jian Xu
Xiaoxiang Zhu
ArXiv (abs)PDFHTML

Papers citing "Joint & Progressive Learning from High-Dimensional Data for Multi-Label Classification"

12 / 12 papers shown
Title
Interpretable Hyperspectral AI: When Non-Convex Modeling meets
  Hyperspectral Remote Sensing
Interpretable Hyperspectral AI: When Non-Convex Modeling meets Hyperspectral Remote Sensing
Danfeng Hong
Wei He
Naoto Yokoya
Jing Yao
Lianru Gao
Liangpei Zhang
Jocelyn Chanussot
Xiaoxiang Zhu
57
0
0
02 Mar 2021
Joint and Progressive Subspace Analysis (JPSA) with Spatial-Spectral
  Manifold Alignment for Semi-Supervised Hyperspectral Dimensionality Reduction
Joint and Progressive Subspace Analysis (JPSA) with Spatial-Spectral Manifold Alignment for Semi-Supervised Hyperspectral Dimensionality Reduction
Danfeng Hong
Naoto Yokoya
Jocelyn Chanussot
Jian Xu
Xiaoxiang Zhu
49
82
0
21 Sep 2020
Spectral Superresolution of Multispectral Imagery with Joint Sparse and
  Low-Rank Learning
Spectral Superresolution of Multispectral Imagery with Joint Sparse and Low-Rank Learning
Lianru Gao
Danfeng Hong
Jing Yao
Bing Zhang
Paolo Gamba
Jocelyn Chanussot
96
127
0
28 Jul 2020
Spatial-Spectral Manifold Embedding of Hyperspectral Data
Spatial-Spectral Manifold Embedding of Hyperspectral Data
Danfeng Hong
Jing Yao
Xin Wu
Jocelyn Chanussot
Xiaoxiang Zhu
34
1
0
17 Jul 2020
Feature Extraction for Hyperspectral Imagery: The Evolution from Shallow
  to Deep (Overview and Toolbox)
Feature Extraction for Hyperspectral Imagery: The Evolution from Shallow to Deep (Overview and Toolbox)
Behnood Rasti
Danfeng Hong
Renlong Hang
Pedram Ghamisi
Xudong Kang
Jocelyn Chanussot
J. Benediktsson
148
408
0
05 Mar 2020
Invariant Attribute Profiles: A Spatial-Frequency Joint Feature
  Extractor for Hyperspectral Image Classification
Invariant Attribute Profiles: A Spatial-Frequency Joint Feature Extractor for Hyperspectral Image Classification
Danfeng Hong
Xin Wu
Pedram Ghamisi
Jocelyn Chanussot
Naoto Yokoya
Xiaoxiang Zhu
82
233
0
18 Dec 2019
MIMA: MAPPER-Induced Manifold Alignment for Semi-Supervised Fusion of
  Optical Image and Polarimetric SAR Data
MIMA: MAPPER-Induced Manifold Alignment for Semi-Supervised Fusion of Optical Image and Polarimetric SAR Data
Jingliang Hu
Danfeng Hong
Xiaoxiang Zhu
61
63
0
13 Jun 2019
Fourier-based Rotation-invariant Feature Boosting: An Efficient
  Framework for Geospatial Object Detection
Fourier-based Rotation-invariant Feature Boosting: An Efficient Framework for Geospatial Object Detection
Xin Wu
Danfeng Hong
Jocelyn Chanussot
Yang Xu
R. Tao
Yue Wang
ObjD
65
106
0
27 May 2019
ORSIm Detector: A Novel Object Detection Framework in Optical Remote
  Sensing Imagery Using Spatial-Frequency Channel Features
ORSIm Detector: A Novel Object Detection Framework in Optical Remote Sensing Imagery Using Spatial-Frequency Channel Features
Xin Wu
Danfeng Hong
Jiaojiao Tian
Jocelyn Chanussot
Wei Li
R. Tao
ObjD
78
187
0
23 Jan 2019
Learnable Manifold Alignment (LeMA) : A Semi-supervised Cross-modality
  Learning Framework for Land Cover and Land Use Classification
Learnable Manifold Alignment (LeMA) : A Semi-supervised Cross-modality Learning Framework for Land Cover and Land Use Classification
Danfeng Hong
Naoto Yokoya
N. Ge
Jocelyn Chanussot
Xiaoxiang Zhu
75
216
0
09 Jan 2019
CoSpace: Common Subspace Learning from Hyperspectral-Multispectral
  Correspondences
CoSpace: Common Subspace Learning from Hyperspectral-Multispectral Correspondences
Danfeng Hong
Naoto Yokoya
Jocelyn Chanussot
Xiaoxiang Zhu
88
195
0
30 Dec 2018
An Augmented Linear Mixing Model to Address Spectral Variability for
  Hyperspectral Unmixing
An Augmented Linear Mixing Model to Address Spectral Variability for Hyperspectral Unmixing
Danfeng Hong
Naoto Yokoya
Jocelyn Chanussot
Xiaoxiang Zhu
54
719
0
29 Oct 2018
1