Robust Subspace Clustering with Compressed Data

IEEE Transactions on Image Processing, pp. 5161-5170, 2019.

Cited by: 23|Bibtex|Views40|DOI:https://doi.org/10.1109/TIP.2019.2917857
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Other Links: academic.microsoft.com|pubmed.ncbi.nlm.nih.gov|dblp.uni-trier.de|arxiv.org

Abstract:

Dimension reduction is widely regarded as an effective way for decreasing the computation, storage, and communication loads of data-driven intelligent systems, leading to a growing demand for statistical methods that allow analysis (e.g., clustering) of compressed data. We therefore study in this paper a novel problem called compressive r...More

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