A splitting method for the locality regularized semi-supervised subspace clustering
Sign Up to like & getrecommendations! Published in 2019 at "Optimization"
DOI: 10.1080/02331934.2019.1671841
Abstract: Graph-based semi-supervised learning (G-SSL) methods play an increasingly important role in machine learning systems. Recently, latent low-rank representation (LatLRR) graph has gained great success in subspace clustering. However, LatLRR only considers the global structure, while… read more here.
Keywords: supervised subspace; locality regularized; subspace clustering; semi supervised ... See more keywords
A General Approach for Achieving Supervised Subspace Learning in Sparse Representation
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DOI: 10.1109/access.2019.2898923
Abstract: Over the past few decades, a large family of subspace learning algorithms based on dictionary learning have been designed to provide different solutions to learn subspace feature. Most of them are unsupervised algorithms that are… read more here.
Keywords: supervised subspace; approach; subspace learning; subspace ... See more keywords
Deeply Supervised Subspace Learning for Cross-Modal Material Perception of Known and Unknown Objects
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Industrial Informatics"
DOI: 10.1109/tii.2022.3195171
Abstract: In order to help robots understand and perceive an object's properties during noncontact robot-object interaction, this article proposes a deeply supervised subspace learning method. In contrast to previous work, it takes the advantages of low… read more here.
Keywords: deeply supervised; unknown objects; cross modal; supervised subspace ... See more keywords