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ODMTCNet: An Interpretable Multi-view Deep Neural Network Architecture
  for Image Feature Representation

ODMTCNet: An Interpretable Multi-view Deep Neural Network Architecture for Image Feature Representation

28 October 2021
Lei Gao
Zheng Guo
L. Guan
ArXivPDFHTML

Papers citing "ODMTCNet: An Interpretable Multi-view Deep Neural Network Architecture for Image Feature Representation"

26 / 26 papers shown
Title
TransTailor: Pruning the Pre-trained Model for Improved Transfer
  Learning
TransTailor: Pruning the Pre-trained Model for Improved Transfer Learning
Bingyan Liu
Yifeng Cai
Yao Guo
Xiangqun Chen
33
55
0
02 Mar 2021
A Complete Discriminative Tensor Representation Learning for
  Two-Dimensional Correlation Analysis
A Complete Discriminative Tensor Representation Learning for Two-Dimensional Correlation Analysis
Lei Gao
L. Guan
19
4
0
28 Feb 2021
Discriminative Multiple Canonical Correlation Analysis for Information
  Fusion
Discriminative Multiple Canonical Correlation Analysis for Information Fusion
Lei Gao
L. Qi
E. Chen
L. Guan
37
78
0
28 Feb 2021
The Labeled Multiple Canonical Correlation Analysis for Information
  Fusion
The Labeled Multiple Canonical Correlation Analysis for Information Fusion
Lei Gao
Rui Zhang
L. Qi
E. Chen
L. Guan
29
37
0
28 Feb 2021
Discriminative feature generation for classification of imbalanced data
Discriminative feature generation for classification of imbalanced data
Sungho Suh
P. Lukowicz
Y. Lee
52
21
0
24 Oct 2020
Discriminative Local Sparse Representation by Robust Adaptive Dictionary
  Pair Learning
Discriminative Local Sparse Representation by Robust Adaptive Dictionary Pair Learning
Yulin Sun
Zhao Zhang
Weiming Jiang
Zheng Zhang
Li Zhang
Shuicheng Yan
Meng Wang
62
56
0
20 Nov 2019
Robust Triple-Matrix-Recovery-Based Auto-Weighted Label Propagation for
  Classification
Robust Triple-Matrix-Recovery-Based Auto-Weighted Label Propagation for Classification
Huan Zhang
Zhao Zhang
Mingbo Zhao
Qiaolin Ye
Min Zhang
Meng Wang
16
32
0
20 Nov 2019
Regularizing CNN Transfer Learning with Randomised Regression
Regularizing CNN Transfer Learning with Randomised Regression
Yang Zhong
A. Maki
103
13
0
16 Aug 2019
Robust Subspace Discovery by Block-diagonal Adaptive
  Locality-constrained Representation
Robust Subspace Discovery by Block-diagonal Adaptive Locality-constrained Representation
Zhao Zhang
Jiahuan Ren
Sheng Li
Richang Hong
Zhengjun Zha
Meng Wang
27
48
0
04 Aug 2019
Kernel-Induced Label Propagation by Mapping for Semi-Supervised
  Classification
Kernel-Induced Label Propagation by Mapping for Semi-Supervised Classification
Zhao Zhang
Lei Jia
Mingbo Zhao
Guangcan Liu
Meng Wang
Shuicheng Yan
24
35
0
29 May 2019
Representation Learning for Dynamic Graphs: A Survey
Representation Learning for Dynamic Graphs: A Survey
Seyed Mehran Kazemi
Rishab Goel
Kshitij Jain
I. Kobyzev
Akshay Sethi
Peter Forsyth
Pascal Poupart
AI4TS
AI4CE
GNN
80
450
0
27 May 2019
Interpretable Convolutional Neural Networks via Feedforward Design
Interpretable Convolutional Neural Networks via Feedforward Design
C.-C. Jay Kuo
Min Zhang
Siyang Li
Jiali Duan
Yueru Chen
44
157
0
05 Oct 2018
Convex Class Model on Symmetric Positive Definite Manifolds
Convex Class Model on Symmetric Positive Definite Manifolds
Kun-li Zhao
Arnold Wiliem
Shaokang Chen
Brian C. Lovell
15
7
0
14 Jun 2018
Sparse, Collaborative, or Nonnegative Representation: Which Helps
  Pattern Classification?
Sparse, Collaborative, or Nonnegative Representation: Which Helps Pattern Classification?
Jun Xu
Wangpeng An
Lei Zhang
David C. Zhang
BDL
116
119
0
12 Jun 2018
A Method Based on Convex Cone Model for Image-Set Classification with
  CNN Features
A Method Based on Convex Cone Model for Image-Set Classification with CNN Features
Naoya Sogi
Taku Nakayama
Kazuhiro Fukui
19
9
0
31 May 2018
Interpretable Convolutional Neural Networks
Interpretable Convolutional Neural Networks
Quanshi Zhang
Ying Nian Wu
Song-Chun Zhu
FAtt
41
774
0
02 Oct 2017
Borrowing Treasures from the Wealthy: Deep Transfer Learning through
  Selective Joint Fine-tuning
Borrowing Treasures from the Wealthy: Deep Transfer Learning through Selective Joint Fine-tuning
Weifeng Ge
Yizhou Yu
121
233
0
28 Feb 2017
An Overview on Data Representation Learning: From Traditional Feature
  Learning to Recent Deep Learning
An Overview on Data Representation Learning: From Traditional Feature Learning to Recent Deep Learning
G. Zhong
Lina Wang
Junyu Dong
AI4TS
51
182
0
25 Nov 2016
ResFeats: Residual Network Based Features for Image Classification
ResFeats: Residual Network Based Features for Image Classification
A. Mahmood
Bennamoun
Senjian An
Ferdous Sohel
VLM
SSeg
45
59
0
21 Nov 2016
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
1.2K
192,638
0
10 Dec 2015
A study of the classification of low-dimensional data with supervised
  manifold learning
A study of the classification of low-dimensional data with supervised manifold learning
Elif Vural
C. Guillemot
18
30
0
21 Jul 2015
DCTNet : A Simple Learning-free Approach for Face Recognition
DCTNet : A Simple Learning-free Approach for Face Recognition
C. Ng
Andrew Beng Jin Teoh
CVBM
13
59
0
08 Jul 2015
Neural Activation Constellations: Unsupervised Part Model Discovery with
  Convolutional Networks
Neural Activation Constellations: Unsupervised Part Model Discovery with Convolutional Networks
Marcel Simon
E. Rodner
51
412
0
30 Apr 2015
Very Deep Convolutional Networks for Large-Scale Image Recognition
Very Deep Convolutional Networks for Large-Scale Image Recognition
Karen Simonyan
Andrew Zisserman
FAtt
MDE
758
99,991
0
04 Sep 2014
PCANet: A Simple Deep Learning Baseline for Image Classification?
PCANet: A Simple Deep Learning Baseline for Image Classification?
Tsung-Han Chan
Kui Jia
Shenghua Gao
Jiwen Lu
Zinan Zeng
Yi-An Ma
88
1,496
0
14 Apr 2014
Representation Learning: A Review and New Perspectives
Representation Learning: A Review and New Perspectives
Yoshua Bengio
Aaron Courville
Pascal Vincent
OOD
SSL
142
12,384
0
24 Jun 2012
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