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Low-dimensional learned feature spaces quantify individual and group differences in vocal repertoires
Increases in the scale and complexity of behavioral data pose an increasing challenge for data analysis. A common strategy involves replacing entire behaviors with small numbers of handpicked, domain-specific features, but this approach suffers from several crucial limitations. For example, handpick...
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| 出版年: | eLife |
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| 主要な著者: | , , , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
eLife Sciences Publications, Ltd
2021
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8213406/ https://ncbi.nlm.nih.gov/pubmed/33988503 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.7554/eLife.67855 |
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