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The Optimally Designed Variational Autoencoder Networks for Clustering and Recovery of Incomplete Multimedia Data
Clustering analysis of massive data in wireless multimedia sensor networks (WMSN) has become a hot topic. However, most data clustering algorithms have difficulty in obtaining latent nonlinear correlations of data features, resulting in a low clustering accuracy. In addition, it is difficult to extr...
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| Publicado no: | Sensors (Basel) |
|---|---|
| Main Authors: | , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
MDPI
2019
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6413117/ https://ncbi.nlm.nih.gov/pubmed/30781499 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/s19040809 |
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