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Chen et al., 2018 - Google Patents

Discriminative and coherent subspace clustering

Chen et al., 2018

Document ID
16885343913310403690
Author
Chen H
Wang W
Feng X
He R
Publication year
Publication venue
Neurocomputing

External Links

Snippet

The ubiquitous large, complex and high dimensional datasets in computer vision and machine learning generate the problem of subspace clustering, which aims to partition the data into several low dimensional subspaces. Most state-of-the-art methods divide the …
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Classifications

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    • G06K9/6217—Design or setup of recognition systems and techniques; Extraction of features in feature space; Clustering techniques; Blind source separation
    • G06K9/6232—Extracting features by transforming the feature space, e.g. multidimensional scaling; Mappings, e.g. subspace methods
    • G06K9/6247—Extracting features by transforming the feature space, e.g. multidimensional scaling; Mappings, e.g. subspace methods based on an approximation criterion, e.g. principal component analysis
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