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Deep Compressed Sensing for Learning Submodular Functions
The AI community has been paying attention to submodular functions due to their various applications (e.g., target search and 3D mapping). Learning submodular functions is a challenge since the number of a function’s outcomes of N sets is [Formula: see text]. The state-of-the-art approach is based o...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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MDPI
2020
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7249116/ https://www.ncbi.nlm.nih.gov/pubmed/32370173 http://dx.doi.org/10.3390/s20092591 |