Yan, Yiheng and Gao, Ziting (2025) A Study on Image Recognition of Chinese Herbal Medicine Based on Probabilistic Convolution Voting Model. In: Proceedings of the 2nd International Conference on Machine Learning and Automation, CONF-MLA 2024, November 21, 2024, Adana, Turkey.
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Abstract
This study investigates the application of deep learning in the field of Chinese herbal medicine (CHM) image recognition, proposing a novel multi-model ensemble approach called the Probabilistic Convolution Voting Model (PCVM) to address the limitations of current single-model systems. Traditional C
| Item Type: | Conference or Workshop Item (UNSPECIFIED) |
|---|---|
| Date Deposited: | 04 Mar 2026 18:27 |
| Last Modified: | 16 Apr 2026 21:38 |
| URI: | http://eprints.eai.eu/id/eprint/52552 |
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