Publications by authors named "Huanxi Deng"

Article Synopsis
  • * Supervised AI techniques can identify vegetation but rely on labeled datasets that are costly and time-consuming to create, leading to issues with accuracy when applied to new environments.
  • * This study introduces an unsupervised classification method that significantly reduces the need for manual annotation, achieving high accuracy in identifying underwater vegetation while utilizing innovative techniques like dimensionality reduction and a voting mechanism, making it more efficient and scalable.
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