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Energy Efficient Pupil Tracking Based on Rule Distillation of Cascade Regression Forest
As the demand for human-friendly computing increases, research on pupil tracking to facilitate human–machine interactions (HCIs) is being actively conducted. Several successful pupil tracking approaches have been developed using images and a deep neural network (DNN). However, common DNN-based metho...
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| Publicado no: | Sensors (Basel) |
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| Main Authors: | , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
MDPI
2020
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7570576/ https://ncbi.nlm.nih.gov/pubmed/32916968 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/s20185141 |
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