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Zhao et al., 2021 - Google Patents

Hot-vae: Learning high-order label correlation for multi-label classification via attention-based variational autoencoders

Zhao et al., 2021

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Document ID
9868535696472161655
Author
Zhao W
Kong S
Bai J
Fink D
Gomes C
Publication year
Publication venue
Proceedings of the AAAI conference on artificial intelligence

External Links

Snippet

Understanding how environmental characteristics affect biodiversity patterns, from individual species to communities of species, is critical for mitigating effects of global change. A central goal for conservation planning and monitoring is the ability to accurately predict the …
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    • G06K9/62—Methods or arrangements for recognition using electronic means
    • 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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