Multiview Matrix Completion for Multilabel Image Classification

DOI10.1109/TIP.2015.2421309zbMath1408.94451arXiv1904.03901OpenAlexW2045610202WikidataQ38413398 ScholiaQ38413398MaRDI QIDQ4612899

Yong Luo, Chao Xu, Tongliang Liu, Dacheng Tao

Publication date: 31 January 2019

Published in: IEEE Transactions on Image Processing (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1904.03901

Mathematics Subject Classification ID

Image processing (compression, reconstruction, etc.) in information and communication theory (94A08)

Related Items (9)

Weak multi-label learning with missing labels via instance granular discrimination ⋮ Multi-view spectral clustering via robust local subspace learning ⋮ T-product factorization based method for matrix and tensor completion problems ⋮ A semisupervised framework for automatic image annotation based on graph embedding and multiview nonnegative matrix factorization ⋮ Numerical comparisons between Bayesian and frequentist low-rank matrix completion: estimation accuracy and uncertainty quantification ⋮ Sparse subspace clustering for data with missing entries and high-rank matrix completion ⋮ Matrix completion via minimizing an approximate rank ⋮ Robust non-negative sparse graph for semi-supervised multi-label learning with missing labels ⋮ A multiple attributes convolution kernel with reproducing property

This page was built for publication: Multiview Matrix Completion for Multilabel Image Classification