Network Flow Algorithms for Structured Sparsity

31 August 2010

Papers citing "Network Flow Algorithms for Structured Sparsity"

46 / 46 papers shown

Title
MeanSparse: Post-Training Robustness Enhancement Through Mean-Centered Feature Sparsification Sajjad Amini Mohammadreza Teymoorianfard Shiqing Ma Amir Houmansadr OOD AAML 37 6 0 09 Jun 2024
Structural Explanations for Graph Neural Networks using HSIC Ayato Toyokuni Makoto Yamada 27 1 0 04 Feb 2023
Positive Feature Values Prioritized Hierarchical Redundancy Eliminated Tree Augmented Naive Bayes Classifier for Hierarchical Feature Spaces Cen Wan 14 2 0 12 Apr 2022
Hierarchical Dependency Constrained Tree Augmented Naive Bayes Classifiers for Hierarchical Feature Spaces Cen Wan A. Freitas TPM 13 2 0 08 Feb 2022
Autoencoder-based background reconstruction and foreground segmentation with background noise estimation Bruno Sauvalle A. de La Fortelle 21 12 0 15 Dec 2021
Online Structured Sparsity-based Moving Object Detection from Satellite Videos Junpeng Zhang Wenxuan Wang Jiankun Hu Jocelyn Chanussot 8 28 0 29 Nov 2019
On the Duality between Network Flows and Network Lasso A. Jung 14 8 0 04 Oct 2019
Error Bounded Foreground and Background Modeling for Moving Object Detection in Satellite Videos Junpeng Zhang Wenxuan Wang Jiankun Hu 24 49 0 26 Aug 2019
Bottleneck potentials in Markov Random Fields Ahmed Abbas Paul Swoboda 11 2 0 17 Apr 2019
Moving Object Detection under Discontinuous Change in Illumination Using Tensor Low-Rank and Invariant Sparse Decomposition M. Shakeri Hong Zhang 13 22 0 05 Apr 2019
Regularized Loss Minimizers with Local Data Perturbation: Consistency and Data Irrecoverability Zitao Li Jean Honorio 9 0 0 19 May 2018
Analysis and Optimization of Loss Functions for Multiclass, Top-k, and Multilabel Classification Maksim Lapin Matthias Hein Bernt Schiele 34 99 0 12 Dec 2016
Video Processing from Electro-optical Sensors for Object Detection and Tracking in Maritime Environment: A Survey Dilip K. Prasad D. Rajan L. Rachmawati E. Rajabally C. Quek 15 321 0 17 Nov 2016
Continuation of Nesterov's Smoothing for Regression with Structured Sparsity in High-Dimensional Neuroimaging F. Hadj-Selem Tommy Löfstedt Elvis Dohmatob V. Frouin Mathieu Dubois V. Guillemot Edouard Duchesnay 11 4 0 31 May 2016
Estimating Sparse Signals with Smooth Support via Convex Programming and Block Sparsity Sohil Shah Tom Goldstein Christoph Studer 16 4 0 06 May 2016
Bayesian Variable Selection and Estimation for Group Lasso Xiaofang Xu M. Ghosh BDL 16 154 0 03 Dec 2015
Loss Functions for Top-k Error: Analysis and Insights Maksim Lapin Matthias Hein Bernt Schiele 20 91 0 01 Dec 2015
Bayesian inference for spatio-temporal spike-and-slab priors Michael Riis Andersen Aki Vehtari Ole Winther Lars Kai Hansen 18 32 0 15 Sep 2015
Task-Driven Dictionary Learning for Hyperspectral Image Classification with Structured Sparsity Constraints Xiaoxia Sun Nasser M. Nasrabadi T. Tran 21 62 0 03 Feb 2015
Sparse Modeling for Image and Vision Processing Julien Mairal Francis R. Bach Jean Ponce VLM 37 488 0 12 Nov 2014
Modular proximal optimization for multidimensional total-variation regularization Á. Jiménez S. Sra 46 118 0 03 Nov 2014
Hyperspectral Imaging and Analysis for Sparse Reconstruction and Recognition Zohaib Khan 34 2 0 29 Jul 2014
Hybrid Conditional Gradient - Smoothing Algorithms with Applications to Sparse and Low Rank Regularization Andreas Argyriou Marco Signoretto Johan A. K. Suykens 37 22 0 14 Apr 2014
Group-sparse Matrix Recovery Xiangrong Zeng Mário A. T. Figueiredo 30 3 0 20 Feb 2014
An Algorithmic Theory of Dependent Regularizers, Part 1: Submodular Structure H. Koepke M. Meilă 52 0 0 06 Dec 2013
Solving OSCAR regularization problems by proximal splitting algorithms Xiangrong Zeng Mário A. T. Figueiredo 39 6 0 24 Sep 2013
Stochastic Majorization-Minimization Algorithms for Large-Scale Optimization Julien Mairal 44 159 0 19 Jun 2013
Proximal methods for the latent group lasso penalty S. Villa Lorenzo Rosasco S. Mosci A. Verri 37 37 0 03 Sep 2012
Efficient Algorithm for Extremely Large Multi-task Regression with Massive Structured Sparsity Seunghak Lee Eric P. Xing 34 0 0 15 Aug 2012
Fast projections onto mixed-norm balls with applications S. Sra 45 29 0 06 Apr 2012
Smoothing Proximal Gradient Method for General Structured Sparse Learning Xinyu Chen Qihang Lin Seyoung Kim J. Carbonell Eric P. Xing 49 95 0 14 Feb 2012
Collaborative Filtering via Group-Structured Dictionary Learning Z. Szabó Barnabás Póczós András Lőrincz 28 10 0 01 Jan 2012
Learning with Submodular Functions: A Convex Optimization Perspective Francis R. Bach 50 476 0 28 Nov 2011
Learning Hierarchical and Topographic Dictionaries with Structured Sparsity Julien Mairal Rodolphe Jenatton G. Obozinski Francis R. Bach 33 18 0 20 Oct 2011
Structured sparsity through convex optimization Francis R. Bach Rodolphe Jenatton Julien Mairal G. Obozinski 74 323 0 12 Sep 2011
Moving Object Detection by Detecting Contiguous Outliers in the Low-Rank Representation Xiaowei Zhou Can Yang Weichuan Yu 65 637 0 05 Sep 2011
Optimization with Sparsity-Inducing Penalties Francis R. Bach Rodolphe Jenatton Julien Mairal G. Obozinski 82 1,057 0 03 Aug 2011
Structured Sparsity via Alternating Direction Methods Zhiwei Qin D. Goldfarb 46 77 0 04 May 2011
Convex and Network Flow Optimization for Structured Sparsity Julien Mairal Rodolphe Jenatton G. Obozinski Francis R. Bach 54 108 0 11 Apr 2011
Efficient First Order Methods for Linear Composite Regularizers Andreas Argyriou C. Micchelli Massimiliano Pontil Lixin Shen Yuesheng Xu 38 48 0 07 Apr 2011
A convex model for non-negative matrix factorization and dimensionality reduction on physical space E. Esser Michael Möller Stanley Osher Guillermo Sapiro Jack Xin 48 168 0 04 Feb 2011
Convex Analysis and Optimization with Submodular Functions: a Tutorial Francis R. Bach 59 36 0 20 Oct 2010
Proximal Methods for Hierarchical Sparse Coding Rodolphe Jenatton Julien Mairal G. Obozinski Francis R. Bach 57 344 0 11 Sep 2010
Structured sparsity-inducing norms through submodular functions Francis R. Bach 61 194 0 25 Aug 2010
Smoothing proximal gradient method for general structured sparse regression Xinyu Chen Qihang Lin Seyoung Kim J. Carbonell Eric P. Xing 45 231 0 26 May 2010
Structured Variable Selection with Sparsity-Inducing Norms Rodolphe Jenatton Jean-Yves Audibert Francis R. Bach 80 605 0 22 Apr 2009