Noise-robust semi-supervised learning via fast sparse coding
type: Item
instance of: scholarly article
title: Noise-robust semi-supervised learning via fast sparse coding
zbMATH Open document ID: 1373.68325
author: Zhiwu Lu
author: Liwei Wang
published in: Pattern Recognition
publication date: 2017-11-10T00:00:00Z
Mathematics Subject Classification ID: 68T05
Mathematics Subject Classification ID: 94A08
zbMATH DE Number: 6805449
zbMATH Keywords: graph-based semi-supervised learning
zbMATH Keywords: noise reduction
zbMATH Keywords: Laplacian regularization
zbMATH Keywords: sparse coding
zbMATH Keywords: noise-robust image classification
MaRDI profile type: Publication
full work available at URL: j.patcog.2014.08.019
OpenAlex ID: W2017735937
cites work: An algorithm for semi-supervised learning in image retrieval
cites work: Semi-Supervised Bilinear Subspace Learning
cites work: Image annotation via graph learning
cites work: Q3174044
cites work: Learning with $\ell ^{1}$-graph for image analysis
cites work: Exhaustive and efficient constraint propagation: a graph-based learning approach and its applications
cites work: Restoration of images corrupted by mixed Gaussian-impulse noise via \(l_{1}-l_{0}\) minimization
cites work: A Fast Iterative Shrinkage-Thresholding Algorithm for Linear Inverse Problems
cites work: For most large underdetermined systems of linear equations the minimal 𝓁1‐norm solution is also the sparsest solution
cites work: A new approach to variable selection in least squares problems
cites work: Q4864293
cites work: Feature selection guided by structural information
cites work: Q5396635
cites work: Sparse semi-supervised learning using conjugate functions
cites work: A second order cone programming approach for semi-supervised learning
cites work: Kernel-based transition probability toward similarity measure for semi-supervised learning
cites work: Q4821526
DOI: 10.1016/J.PATCOG.2014.08.019
description: scientific article; zbMATH DE number 6805449