Low Rank Sample Reconstruction-Based Semi-supervised Feature Subspace Learning

An, Ruoqi and LI, AO (2020) Low Rank Sample Reconstruction-Based Semi-supervised Feature Subspace Learning. In: Proceedings of the 13th EAI International Conference on Mobile Multimedia Communications, Mobimedia 2020, 27-28 August 2020, Cyberspace.

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Abstract

Feature subspaces have been widely valued and applied in image classification. However, majority conventional subspace learning approaches are supervised. The data containing only partial labeled samples will lead to unsatisfactory classification results in practical applications. To address the pro

Item Type: Conference or Workshop Item (UNSPECIFIED)
Date Deposited: 04 Mar 2026 13:46
Last Modified: 17 Apr 2026 10:00
URI: http://eprints.eai.eu/id/eprint/31481

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