ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1110.2436
  4. Cited By
An MDL framework for sparse coding and dictionary learning

An MDL framework for sparse coding and dictionary learning

11 October 2011
Ignacio Francisco Ramírez Paulino
Guillermo Sapiro
ArXiv (abs)PDFHTML

Papers citing "An MDL framework for sparse coding and dictionary learning"

14 / 14 papers shown
Title
Interpretability as Compression: Reconsidering SAE Explanations of
  Neural Activations with MDL-SAEs
Interpretability as Compression: Reconsidering SAE Explanations of Neural Activations with MDL-SAEs
Kola Ayonrinde
Michael T. Pearce
Lee Sharkey
MILM
39
6
0
15 Oct 2024
Low-Rank Matrix Recovery from Noise via an MDL Framework-based Atomic
  Norm
Low-Rank Matrix Recovery from Noise via an MDL Framework-based Atomic Norm
Anyong Qin
Lina Xian
Yongliang Yang
Taiping Zhang
Yuanyan Tang
112
3
0
17 Sep 2020
Learning Simple Thresholded Features with Sparse Support Recovery
Learning Simple Thresholded Features with Sparse Support Recovery
Hongyu Xu
Zhangyang Wang
Haichuan Yang
Ding Liu
Ji Liu
89
32
0
16 Apr 2018
Binary Matrix Factorization via Dictionary Learning
Binary Matrix Factorization via Dictionary Learning
Ignacio Francisco Ramírez Paulino
19
2
0
16 Apr 2018
Neurogenesis-Inspired Dictionary Learning: Online Model Adaption in a
  Changing World
Neurogenesis-Inspired Dictionary Learning: Online Model Adaption in a Changing World
S. Garg
Irina Rish
Guillermo Cecchi
A. Lozano
OffRLCLL
115
6
0
22 Jan 2017
A survey of sparse representation: algorithms and applications
A survey of sparse representation: algorithms and applications
Zheng Zhang
Yong-mei Xu
Jian Yang
Xuelong Li
David C. Zhang
AI4TS
98
993
0
23 Feb 2016
Decomposition into Low-rank plus Additive Matrices for
  Background/Foreground Separation: A Review for a Comparative Evaluation with
  a Large-Scale Dataset
Decomposition into Low-rank plus Additive Matrices for Background/Foreground Separation: A Review for a Comparative Evaluation with a Large-Scale Dataset
T. Bouwmans
A. Sobral
S. Javed
Soon Ki Jung
E. Zahzah
99
332
0
04 Nov 2015
Image patch analysis of sunspots and active regions. II. Clustering via
  matrix factorization
Image patch analysis of sunspots and active regions. II. Clustering via matrix factorization
Kevin R. Moon
V. Delouille
Jimmy J. Li
R. Visscher
F. Watson
Alfred Hero
20
7
0
10 Apr 2015
Image patch analysis of sunspots and active regions. I. Intrinsic
  dimension and correlation analysis
Image patch analysis of sunspots and active regions. I. Intrinsic dimension and correlation analysis
Kevin R. Moon
Jimmy J. Li
V. Delouille
R. Visscher
F. Watson
Alfred Hero
32
13
0
13 Mar 2015
Image patch analysis and clustering of sunspots: a dimensionality
  reduction approach
Image patch analysis and clustering of sunspots: a dimensionality reduction approach
Kevin R. Moon
Jimmy J. Li
V. Delouille
F. Watson
Alfred Hero
45
8
0
24 Jun 2014
Structured Dictionary Learning for Classification
Structured Dictionary Learning for Classification
Yuanming Suo
Minh Dao
U. Srinivas
V. Monga
T. Tran
73
29
0
08 Jun 2014
Multiple Kernel Sparse Representations for Supervised and Unsupervised
  Learning
Multiple Kernel Sparse Representations for Supervised and Unsupervised Learning
Jayaraman J. Thiagarajan
Karthikeyan N. Ramamurthy
A. Spanias
SSL
78
76
0
03 Mar 2013
Learning Stable Multilevel Dictionaries for Sparse Representations
Learning Stable Multilevel Dictionaries for Sparse Representations
Jayaraman J. Thiagarajan
Karthikeyan N. Ramamurthy
A. Spanias
69
29
0
03 Mar 2013
Universal Regularizers For Robust Sparse Coding and Modeling
Universal Regularizers For Robust Sparse Coding and Modeling
Ignacio Francisco Ramírez Paulino
Guillermo Sapiro
100
43
0
15 Mar 2010
1