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Deep Learning with Hierarchical Convolutional Factor Analysis
Unsupervised multi-layered (“deep”) models are considered for general data, with a particular focus on imagery. The model is represented using a hierarchical convolutional factor-analysis construction, with sparse factor loadings and scores. The computation of layer-dependent model parameters is imp...
Tallennettuna:
| Päätekijät: | , , , , , |
|---|---|
| Aineistotyyppi: | Artigo |
| Kieli: | Inglês |
| Julkaistu: |
2013
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| Aiheet: | |
| Linkit: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3683114/ https://ncbi.nlm.nih.gov/pubmed/23787342 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/TPAMI.2013.19 |
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