IEEE

Unsupervised Feature Dimensionality Reduction via Latent Low-Rank Embedding Projection for Classification of Hyperspectral Images

Abstract: To deal with the curse of dimensionality in hyperspectral images, numerous feature dimensionality reduction (FDR) methods have been proposed to map high-dimensional data into a ...
IEEE

Safety Probability Estimation in Dimension Reduction Space for Model-Free Safe Reinforcement Learning of Robotics

Abstract: Reinforcement learning (RL) for robotics poses significant consideration of safety during training. However, a major challenge of safe reinforcement learning (SRL) methods is the curse of ...