Subjects:-Machine Learning-Algorithm Design and Analysis-Data Wrangling

Working on deep learning and computer vision. Specifically, few-shot learning in image classification. [13 Sept 2024] Thesis submitted, viva pendingPhD Thesis:Integrative Metric-based Models for Robust Representation and Generalisation in Few-Shot Image ClassificationTechniques used: Self-supervised Learning; Semi-supervised Learning; Transductive Learning; Transfer LearningPublication:[1] Liu, W. H., Lim, K. M., Ong, T. S., & Lee, C. P. (2024). Dbdc-ssl:… Show more Working on deep learning and computer vision. Specifically, few-shot learning in image classification. [13 Sept 2024] Thesis submitted, viva pendingPhD Thesis:Integrative Metric-based Models for Robust Representation and Generalisation in Few-Shot Image ClassificationTechniques used: Self-supervised Learning; Semi-supervised Learning; Transductive Learning; Transfer LearningPublication:[1] Liu, W. H., Lim, K. M., Ong, T. S., & Lee, C. P. (2024). Dbdc-ssl: Deep brownian distance covariance with self-supervised learning for few-shot image classification. IEEE Access.[2] Liu, W. H., Lim, K. M., Ong, T. S., & Lee, C. P. (2024). Negcosic: Negative cosine similarity-invariance-covariance regularisation for few-shot learning. IEEE Access. Show less

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