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Online Learning for Matrix Factorization and Sparse Coding

1 August 2009

Papers citing "Online Learning for Matrix Factorization and Sparse Coding"

50 / 415 papers shown

Title
Hybrid Model and Data Driven Algorithm for Online Learning of Any-to-Any Path Loss Maps M. A. Gutierrez-Estevez Martin Kasparick Renato L. G. Cavalvante S. Stańczak 13 1 0 14 Jul 2021
Tensor Methods in Computer Vision and Deep Learning Yannis Panagakis Jean Kossaifi Grigorios G. Chrysos James Oldfield M. Nicolaou Anima Anandkumar Stefanos Zafeiriou 62 126 0 07 Jul 2021
Cogradient Descent for Dependable Learning Runqi Wang Baochang Zhang Lian Zhuo QiXiang Ye David Doermann 30 0 0 20 Jun 2021
Understanding approximate and unrolled dictionary learning for pattern recovery Benoit Malézieux Thomas Moreau M. Kowalski MU 54 13 0 11 Jun 2021
Deriving Autism Spectrum Disorder Functional Networks from RS-FMRI Data using Group ICA and Dictionary Learning Xin Yang Ning Zhang Donglin Wang 18 0 0 07 Jun 2021
Fast and Robust Online Inference with Stochastic Gradient Descent via Random Scaling S. Lee Yuan Liao M. Seo Youngki Shin 92 32 0 06 Jun 2021
Bayesian reconstruction of memories stored in neural networks from their connectivity Sebastian Goldt Florent Krzakala Lenka Zdeborová Nicolas Brunel 54 4 0 16 May 2021
MarioNette: Self-Supervised Sprite Learning Dmitriy Smirnov Michael Gharbi Matthew Fisher Vitor Campagnolo Guizilini Alexei A. Efros Justin Solomon SSL OCL 153 37 0 29 Apr 2021
Efficient Sparse Coding using Hierarchical Riemannian Pursuit Ye Xue Vincent K. N. Lau Songfu Cai 172 3 0 21 Apr 2021
MLF-SC: Incorporating multi-layer features to sparse coding for anomaly detection Ryuji Imamura Kohei Azuma Atsushi Hanamoto Atsunori Kanemura 9 5 0 09 Apr 2021
Learning low-rank latent mesoscale structures in networks Hanbaek Lyu Yacoub H. Kureh Joshua Vendrow M. A. Porter 66 9 0 13 Feb 2021
Modeling Dynamic User Interests: A Neural Matrix Factorization Approach Paramveer S. Dhillon Sinan Aral AI4TS 23 20 0 12 Feb 2021
Learning to Initialize Gradient Descent Using Gradient Descent Kartik Ahuja Amit Dhurandhar Kush R. Varshney 21 0 0 22 Dec 2020
K-Deep Simplex: Deep Manifold Learning via Local Dictionaries Pranay Tankala Abiy Tasissa James M. Murphy Demba E. Ba 100 11 0 03 Dec 2020
A Nonconvex Framework for Structured Dynamic Covariance Recovery Katherine Tsai Mladen Kolar Oluwasanmi Koyejo 62 3 0 11 Nov 2020
Learning for Integer-Constrained Optimization through Neural Networks with Limited Training Zhou Zhou Shashank Jere Lizhong Zheng Lingjia Liu 44 7 0 10 Nov 2020
Gaussian Compression Stream: Principle and Preliminary Results Farouk Yahaya M. Puigt G. Delmaire G. Roussel 56 1 0 10 Nov 2020
Applications of Online Nonnegative Matrix Factorization to Image and Time-Series Data Hanbaek Lyu G. Menz Deanna Needell Christopher Strohmeier 36 4 0 10 Nov 2020
Region-specific Dictionary Learning-based Low-dose Thoracic CT Reconstruction Qiong Xu Jeff Wang H. Shirato Lei Xing 8 0 0 20 Oct 2020
A Theoretical Perspective on Hyperdimensional Computing Anthony Thomas S. Dasgupta Tajana Simunic 83 87 0 14 Oct 2020
Online nonnegative CP-dictionary learning for Markovian data Hanbaek Lyu Christopher Strohmeier Deanna Needell 62 10 0 16 Sep 2020
Switching Loss for Generalized Nucleus Detection in Histopathology Deepak Anand Gaurav Patel Yaman Dang A. Sethi MedIm 32 1 0 09 Aug 2020
mpNet: variable depth unfolded neural network for massive MIMO channel estimation Taha Yassine Luc Le Magoarou 90 26 0 07 Aug 2020
Stabilizing Deep Tomographic Reconstruction Weiwen Wu Dianlin Hu W. Cong Hongming Shan Shaoyu Wang Chuang Niu Pingkun Yan Hengyong Yu V. Vardhanabhuti Ge Wang OOD 63 10 0 04 Aug 2020
Rethinking Image Deraining via Rain Streaks and Vapors Yinglong Wang Yibing Song Chao Ma B. Zeng DiffM 83 52 0 03 Aug 2020
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
Tensor Convolutional Sparse Coding with Low-Rank activations, an application to EEG analysis Pierre Humbert L. Oudre Nicolas Vayatis Julien Audiffren 69 0 0 06 Jul 2020
Novel min-max reformulations of Linear Inverse Problems Mohammed Rayyan Sheriff Debasish Chatterjee 68 1 0 05 Jul 2020
Structured and Localized Image Restoration Thomas Eboli Alex Nowak-Vila Jian Sun Francis R. Bach Jean Ponce Alessandro Rudi 20 0 0 16 Jun 2020
Cogradient Descent for Bilinear Optimization Lian Zhuo Baochang Zhang Linlin Yang Hanlin Chen QiXiang Ye David Doermann G. Guo Rongrong Ji 58 14 0 16 Jun 2020
Recovery and Generalization in Over-Realized Dictionary Learning Jeremias Sulam Chong You Zhihui Zhu FedML 64 8 0 11 Jun 2020
Procrustean Orthogonal Sparse Hashing Mariano Tepper D. Sengupta Ted Willke 43 1 0 08 Jun 2020
Self-Representation Based Unsupervised Exemplar Selection in a Union of Subspaces Chong You Chi Li Daniel P. Robinson René Vidal 67 16 0 07 Jun 2020
A Sparse and Locally Coherent Morphable Face Model for Dense Semantic Correspondence Across Heterogeneous 3D Faces Claudio Ferrari Stefano Berretti P. Pala A. Bimbo 3DV 3DH CVBM 55 24 0 06 Jun 2020
Momentum-based variance-reduced proximal stochastic gradient method for composite nonconvex stochastic optimization Yangyang Xu Yibo Xu 69 25 0 31 May 2020
Feature Purification: How Adversarial Training Performs Robust Deep Learning Zeyuan Allen-Zhu Yuanzhi Li MLT AAML 122 151 0 20 May 2020
Riemannian Stochastic Proximal Gradient Methods for Nonsmooth Optimization over the Stiefel Manifold Bokun Wang Shiqian Ma Lingzhou Xue 83 19 0 03 May 2020
Online unsupervised deep unfolding for MIMO channel estimation Luc Le Magoarou S. Paquelet 16 3 0 30 Apr 2020
COVID-19 Time-series Prediction by Joint Dictionary Learning and Online NMF Hanbaek Lyu Christopher Strohmeier G. Menz Deanna Needell 52 10 0 20 Apr 2020
Second-order Conditional Gradient Sliding Alejandro Carderera Sebastian Pokutta 123 13 0 20 Feb 2020
Online Covariance Matrix Estimation in Stochastic Gradient Descent Wanrong Zhu Xi Chen Wei Biao Wu 133 57 0 10 Feb 2020
Super-efficiency of automatic differentiation for functions defined as a minimum Pierre Ablin Gabriel Peyré Thomas Moreau 89 42 0 10 Feb 2020
Supervised Quantile Normalization for Low-rank Matrix Approximation Marco Cuturi O. Teboul Jonathan Niles-Weed Jean-Philippe Vert 47 3 0 08 Feb 2020
A first-order optimization algorithm for statistical learning with hierarchical sparsity structure Dewei Zhang Yin Liu S. Tajbakhsh 73 2 0 10 Jan 2020
Barycenters of Natural Images -- Constrained Wasserstein Barycenters for Image Morphing Dror Simon Aviad Aberdam 53 22 0 24 Dec 2019
Low-rank representations with incoherent dictionary for face recognition P. Xie Hefeng Yin Xiaojun Wu CVBM 16 0 0 10 Dec 2019
Sparse and redundant signal representations for x-ray computed tomography Davood Karimi MedIm 63 1 0 06 Dec 2019
Towards Understanding Residual and Dilated Dense Neural Networks via Convolutional Sparse Coding Zhiyang Zhang Shihua Zhang 70 15 0 05 Dec 2019
Fully Trainable and Interpretable Non-Local Sparse Models for Image Restoration Bruno Lecouat Jean Ponce Julien Mairal 55 1 0 05 Dec 2019
Analysis of the Optimization Landscapes for Overcomplete Representation Learning Qing Qu Yuexiang Zhai Xiao Li Yuqian Zhang Zhihui Zhu 109 10 0 05 Dec 2019