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A survey of sparse representation: algorithms and applications

A survey of sparse representation: algorithms and applications

23 February 2016
Zheng-Wei Zhang
Yong-mei Xu
Jian Yang
Xuelong Li
David C. Zhang
    AI4TS
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Papers citing "A survey of sparse representation: algorithms and applications"

50 / 81 papers shown
Title
Mirror, Mirror of the Flow: How Does Regularization Shape Implicit Bias?
Mirror, Mirror of the Flow: How Does Regularization Shape Implicit Bias?
Tom Jacobs
Chao Zhou
R. Burkholz
OffRL
AI4CE
38
0
0
17 Apr 2025
Beyond Matryoshka: Revisiting Sparse Coding for Adaptive Representation
Beyond Matryoshka: Revisiting Sparse Coding for Adaptive Representation
Tiansheng Wen
Yifei Wang
Zequn Zeng
Zhong Peng
Yudi Su
Xinyang Liu
Bo Chen
Hongwei Liu
Stefanie Jegelka
Chenyu You
CLL
71
3
0
03 Mar 2025
Beyond Label Attention: Transparency in Language Models for Automated Medical Coding via Dictionary Learning
Beyond Label Attention: Transparency in Language Models for Automated Medical Coding via Dictionary Learning
John Wu
David Wu
Jimeng Sun
52
1
0
31 Oct 2024
WARP-LCA: Efficient Convolutional Sparse Coding with Locally Competitive Algorithm
WARP-LCA: Efficient Convolutional Sparse Coding with Locally Competitive Algorithm
Geoffrey Kasenbacher
Felix Ehret
Gerrit Ecke
Sebastian Otte
49
0
0
24 Oct 2024
Pareto Data Framework: Steps Towards Resource-Efficient Decision Making
  Using Minimum Viable Data (MVD)
Pareto Data Framework: Steps Towards Resource-Efficient Decision Making Using Minimum Viable Data (MVD)
Tashfain Ahmed
Josh Siegel
28
1
0
18 Sep 2024
DILA: Dictionary Label Attention for Mechanistic Interpretability in High-dimensional Multi-label Medical Coding Prediction
DILA: Dictionary Label Attention for Mechanistic Interpretability in High-dimensional Multi-label Medical Coding Prediction
John Wu
David Wu
Jimeng Sun
133
0
0
16 Sep 2024
MaVEn: An Effective Multi-granularity Hybrid Visual Encoding Framework
  for Multimodal Large Language Model
MaVEn: An Effective Multi-granularity Hybrid Visual Encoding Framework for Multimodal Large Language Model
Chaoya Jiang
Jia Hongrui
Haiyang Xu
Wei Ye
Mengfan Dong
Ming Yan
Ji Zhang
Fei Huang
Shikun Zhang
VLM
48
1
0
22 Aug 2024
Dy-mer: An Explainable DNA Sequence Representation Scheme using Sparse
  Recovery
Dy-mer: An Explainable DNA Sequence Representation Scheme using Sparse Recovery
Zhiyuan Peng
Yuanbo Tang
Yang Li
21
0
0
06 Jul 2024
Semi-adaptive Synergetic Two-way Pseudoinverse Learning System
Semi-adaptive Synergetic Two-way Pseudoinverse Learning System
Binghong Liu
Ziqi Zhao
Shupan Li
Ke Wang
24
0
0
27 Jun 2024
Low Rank Multi-Dictionary Selection at Scale
Low Rank Multi-Dictionary Selection at Scale
Boya Ma
Maxwell McNeil
Abram Magner
Petko Bogdanov
18
1
0
11 Jun 2024
In-Flight Estimation of Instrument Spectral Response Functions Using
  Sparse Representations
In-Flight Estimation of Instrument Spectral Response Functions Using Sparse Representations
Jihanne El Haouari
J. Gaucel
Christelle Pittet
J. Tourneret
H. Wendt
18
0
0
08 Apr 2024
Sparse and Faithful Explanations Without Sparse Models
Sparse and Faithful Explanations Without Sparse Models
Yiyang Sun
Zhi Chen
Vittorio Orlandi
Tong Wang
Cynthia Rudin
46
2
0
15 Feb 2024
Sparsity via Sparse Group $k$-max Regularization
Sparsity via Sparse Group kkk-max Regularization
Qinghua Tao
Xiangming Xi
Jun Xu
Johan A. K. Suykens
33
0
0
13 Feb 2024
Interactive Generalized Additive Model and Its Applications in Electric
  Load Forecasting
Interactive Generalized Additive Model and Its Applications in Electric Load Forecasting
Linxiao Yang
Rui Ren
Xinyue Gu
Liang Sun
19
6
0
24 Oct 2023
Multi-Dictionary Tensor Decomposition
Multi-Dictionary Tensor Decomposition
Maxwell McNeil
Petko Bogdanov
25
1
0
18 Sep 2023
Robust Ordinal Regression for Subsets Comparisons with Interactions
Robust Ordinal Regression for Subsets Comparisons with Interactions
Hugo Gilbert
Mohamed Ouaguenouni
Meltem Öztürk
Olivier Spanjaard
19
0
0
07 Aug 2023
Harnessing Scalable Transactional Stream Processing for Managing Large
  Language Models [Vision]
Harnessing Scalable Transactional Stream Processing for Managing Large Language Models [Vision]
Shuhao Zhang
Xianzhi Zeng
Yuhao Wu
Zhonghao Yang
29
0
0
17 Jul 2023
SRATTA : Sample Re-ATTribution Attack of Secure Aggregation in Federated
  Learning
SRATTA : Sample Re-ATTribution Attack of Secure Aggregation in Federated Learning
Tanguy Marchand
Regis Loeb
Ulysse Marteau-Ferey
Jean Ogier du Terrail
Arthur Pignet
FedML
42
4
0
13 Jun 2023
ViTMatte: Boosting Image Matting with Pretrained Plain Vision
  Transformers
ViTMatte: Boosting Image Matting with Pretrained Plain Vision Transformers
J. Yao
Xinggang Wang
Shusheng Yang
Baoyuan Wang
ViT
38
57
0
24 May 2023
Do Not Train It: A Linear Neural Architecture Search of Graph Neural
  Networks
Do Not Train It: A Linear Neural Architecture Search of Graph Neural Networks
Peng Xu
Lin Zhang
Xuanzhou Liu
Jiaqi Sun
Yue Zhao
Haiqing Yang
Bei Yu
GNN
21
8
0
23 May 2023
3D wind field profiles from hyperspectral sounders: revisiting
  optic-flow from a meteorological perspective
3D wind field profiles from hyperspectral sounders: revisiting optic-flow from a meteorological perspective
P. Héas
O. Hautecoeur
R. Borde
11
2
0
09 Mar 2023
An adaptive shortest-solution guided decimation approach to sparse
  high-dimensional linear regression
An adaptive shortest-solution guided decimation approach to sparse high-dimensional linear regression
Xue Yu
Yifan Sun
Haijun Zhou
13
2
0
28 Nov 2022
Learning Vector-Quantized Item Representation for Transferable
  Sequential Recommenders
Learning Vector-Quantized Item Representation for Transferable Sequential Recommenders
Yupeng Hou
Zhankui He
Julian McAuley
Wayne Xin Zhao
68
125
0
22 Oct 2022
Optimization-Derived Learning with Essential Convergence Analysis of
  Training and Hyper-training
Optimization-Derived Learning with Essential Convergence Analysis of Training and Hyper-training
Risheng Liu
Xuan Liu
Shangzhi Zeng
Jin Zhang
Yixuan Zhang
45
6
0
16 Jun 2022
Cautious Learning of Multiattribute Preferences
Cautious Learning of Multiattribute Preferences
Hugo Gilbert
Mohamed Ouaguenouni
Meltem Öztürk
Olivier Spanjaard
16
0
0
15 Jun 2022
Explainable AI via Learning to Optimize
Explainable AI via Learning to Optimize
Howard Heaton
Samy Wu Fung
32
14
0
29 Apr 2022
Robust Structured Declarative Classifiers for 3D Point Clouds: Defending
  Adversarial Attacks with Implicit Gradients
Robust Structured Declarative Classifiers for 3D Point Clouds: Defending Adversarial Attacks with Implicit Gradients
Kaidong Li
Ziming Zhang
Cuncong Zhong
Guanghui Wang
3DPC
31
25
0
29 Mar 2022
Adaptive Cross-Layer Attention for Image Restoration
Adaptive Cross-Layer Attention for Image Restoration
Yancheng Wang
N. Xu
Yingzhen Yang
29
3
0
04 Mar 2022
Multi-scale Sparse Representation-Based Shadow Inpainting for Retinal
  OCT Images
Multi-scale Sparse Representation-Based Shadow Inpainting for Retinal OCT Images
Yaoqi Tang
Yu-Feng Li
Hongshan Liu
Jiaxuan Li
Peiyao Jin
Yu Gan
Yuye Ling
Yikai Su
MedIm
7
2
0
23 Feb 2022
2D+3D facial expression recognition via embedded tensor manifold
  regularization
2D+3D facial expression recognition via embedded tensor manifold regularization
Yunfang Fu
Q. Ruan
Ziyan Luo
Gaoyun An
Yi Jin
Jun Wan
CVBM
3DH
13
0
0
29 Jan 2022
Sparse Coding with Multi-Layer Decoders using Variance Regularization
Sparse Coding with Multi-Layer Decoders using Variance Regularization
Katrina Evtimova
Yann LeCun
BDL
OffRL
18
9
0
16 Dec 2021
Discriminative Dictionary Learning based on Statistical Methods
Discriminative Dictionary Learning based on Statistical Methods
G. Madhuri
A. Negi
11
5
0
17 Nov 2021
Cascaded Compressed Sensing Networks: A Reversible Architecture for
  Layerwise Learning
Cascaded Compressed Sensing Networks: A Reversible Architecture for Layerwise Learning
Weizhi Lu
Mingrui Chen
Kai Guo
Weiyu Li
6
0
0
20 Oct 2021
Salt and pepper noise removal method based on stationary Framelet
  transform with non-convex sparsity regularization
Salt and pepper noise removal method based on stationary Framelet transform with non-convex sparsity regularization
Yingpin Chen
Yuming Huang
Lingzhi Wang
Huiying Huang
Jianhua Song
Chao-Liang Yu
Yanping Xu
19
10
0
18 Oct 2021
CSC-Unet: A Novel Convolutional Sparse Coding Strategy Based Neural
  Network for Semantic Segmentation
CSC-Unet: A Novel Convolutional Sparse Coding Strategy Based Neural Network for Semantic Segmentation
Haitong Tang
Shuang He
Mengduo Yang
Xia Lu
Qin Yu
Kaiyue Liu
Hongjie Yan
Ni-zhuan Wang
SSeg
22
12
0
01 Aug 2021
Tensor Methods in Computer Vision and Deep Learning
Tensor Methods in Computer Vision and Deep Learning
Yannis Panagakis
Jean Kossaifi
Grigorios G. Chrysos
James Oldfield
M. Nicolaou
Anima Anandkumar
S. Zafeiriou
27
119
0
07 Jul 2021
Temporal Graph Signal Decomposition
Temporal Graph Signal Decomposition
Maxwell McNeil
Lin Zhang
Petko Bogdanov
16
15
0
25 Jun 2021
Encrypted Distributed Lasso for Sparse Data Predictive Control
Encrypted Distributed Lasso for Sparse Data Predictive Control
A. Alexandru
Anastasios Tsiamis
George J. Pappas
9
10
0
23 Apr 2021
Signal Processing Challenges and Examples for {\it in-situ} Transmission
  Electron Microscopy
Signal Processing Challenges and Examples for {\it in-situ} Transmission Electron Microscopy
J. Kacher
Yao Xie
Sven P. Voigt
Shixiang Zhu
H. Yuchi
J. Key
S. Kalidindi
13
0
0
18 Apr 2021
Knowledge Distillation By Sparse Representation Matching
Knowledge Distillation By Sparse Representation Matching
D. Tran
Moncef Gabbouj
Alexandros Iosifidis
23
0
0
31 Mar 2021
Discriminative Localized Sparse Representations for Breast Cancer
  Screening
Discriminative Localized Sparse Representations for Breast Cancer Screening
S. Makrogiannis
Chelsea E. Harris
Keni Zheng
18
0
0
20 Nov 2020
A Transfer Learning Framework for Anomaly Detection Using Model of
  Normality
A Transfer Learning Framework for Anomaly Detection Using Model of Normality
Sulaiman A. Aburakhia
Tareq Tayeh
Ryan Myers
Abdallah Shami
24
20
0
12 Nov 2020
ISTA-NAS: Efficient and Consistent Neural Architecture Search by Sparse
  Coding
ISTA-NAS: Efficient and Consistent Neural Architecture Search by Sparse Coding
Yibo Yang
Hongyang Li
Shan You
Fei Wang
Chao Qian
Zhouchen Lin
22
60
0
13 Oct 2020
A Survey on Deep Neural Network Compression: Challenges, Overview, and
  Solutions
A Survey on Deep Neural Network Compression: Challenges, Overview, and Solutions
Rahul Mishra
Hari Prabhat Gupta
Tanima Dutta
16
88
0
05 Oct 2020
A Survey on Concept Factorization: From Shallow to Deep Representation
  Learning
A Survey on Concept Factorization: From Shallow to Deep Representation Learning
Zhao Zhang
Yan Zhang
Mingliang Xu
Li Zhang
Yi Yang
Shuicheng Yan
24
30
0
31 Jul 2020
SWAG: A Wrapper Method for Sparse Learning
SWAG: A Wrapper Method for Sparse Learning
Roberto Molinari
Gaetan Bakalli
S. Guerrier
Cesare Miglioli
Samuel Orso
Mucyo Karemera
O. Scaillet
6
5
0
23 Jun 2020
Robust subgaussian estimation with VC-dimension
Robust subgaussian estimation with VC-dimension
Jules Depersin
27
12
0
24 Apr 2020
Sparse Polynomial Chaos Expansions: Literature Survey and Benchmark
Sparse Polynomial Chaos Expansions: Literature Survey and Benchmark
Nora Lüthen
S. Marelli
Bruno Sudret
17
149
0
04 Feb 2020
A sparsity augmented probabilistic collaborative representation based
  classification method
A sparsity augmented probabilistic collaborative representation based classification method
Xiao-Yun Cai
Hefeng Yin
18
1
0
27 Dec 2019
Compressed Sensing with Probability-based Prior Information
Compressed Sensing with Probability-based Prior Information
Qianru Jiang
Sheng Li
Zhihui Zhu
Huang Bai
Xiongxiong He
R. D. Lamare
4
0
0
27 Oct 2019
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