Constructing a Nonnegative Low-Rank and Sparse Graph With Data-Adaptive Features

DOI10.1109/TIP.2015.2441632zbMath1408.94849arXiv1409.0964OpenAlexW2963630677WikidataQ30968467 ScholiaQ30968467MaRDI QIDQ4613076

Zhouchen Lin, Shenghua Gao, Jing-jing Wang, Yi Ma, Jinhui Tang, Liansheng Zhuang, Nenghai Yu

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/1409.0964

Mathematics Subject Classification ID

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

Related Items (3)

Robust distribution-based nonnegative matrix factorizations for dimensionality reduction ⋮ Hyperplane-based nonnegative matrix factorization with label information ⋮ Robust multi-source adaptation visual classification using supervised low-rank representation

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