Synopsis of recent research by authors named "Cheng Yaw Low"
- Cheng Yaw Low's research primarily focuses on advanced techniques for image recognition and pattern classification, particularly in the context of open set recognition (OSR) and stacking-based deep neural networks.
- In his 2021 paper, "Divergent Angular Representation for Open Set Image Recognition," Low proposes a method for effectively distinguishing known classes while detecting unknown classes, enhancing the OSR model's capability through improved representation learning.
- His 2020 publication, "Stacking-Based Deep Neural Network: Deep Analytic Network for Pattern Classification," introduces a novel deep learning approach that allows for independent training of each network layer, improving feature relearning and classification performance using ridge regression.
