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Convolutional Deep Belief Networks for Single-Cell/Object Tracking in Computational Biology and Computer Vision
In this paper, we propose deep architecture to dynamically learn the most discriminative features from data for both single-cell and object tracking in computational biology and computer vision. Firstly, the discriminative features are automatically learned via a convolutional deep belief network (C...
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| 出版年: | Biomed Res Int |
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| 主要な著者: | , , , , , , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
Hindawi Publishing Corporation
2016
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5101405/ https://ncbi.nlm.nih.gov/pubmed/27847827 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1155/2016/9406259 |
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