Multilayer Collaborative Low-Rank Coding Network for Robust Deep Subspace Discovery

ECAI, pp. 1285-1292, 2019.

Cited by: 4|Bibtex|Views143|DOI:https://doi.org/10.3233/FAIA200230
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Other Links: arxiv.org|dblp.uni-trier.de|academic.microsoft.com

Abstract:

For subspace recovery, most existing low-rank representation (LRR) models performs in the original space in single-layer mode. As such, the deep hierarchical information cannot be learned, which may result in inaccurate recoveries for complex real data. In this paper, we explore the deep multi-subspace recovery problem by designing a mu...More

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