5 papers
Accelerate Vector Diffusion Maps by Landmarks
Sing-Yuan Yeh, Yi-An Wu, Hau-Tieng Wu +1
We propose a landmark-constrained algorithm, LA-VDM (Landmark Accelerated Vector Diffusion Maps), to accelerate the Vector Diffusion Maps (VDM) framework built upon the Graph Conne…
Uncertainty of Network Topology with Applications to Out-of-Distribution Detection
Sing-Yuan Yeh, Chun-Hao Yang
Persistent homology (PH) is a crucial concept in computational topology, providing a multiscale topological description of a space. It is particularly significant in topological da…
High-Order Synchrosqueezed Chirplet Transforms for Multicomponent Signal Analysis
Yi-Ju Yen, De-Yan Lu, Sing-Yuan Yeh +2
This study focuses on the analysis of signals containing multiple components with crossover instantaneous frequencies (IF). This problem was initially solved with the chirplet tran…
Landmark Alternating Diffusion
Sing-Yuan Yeh, Hau-Tieng Wu, Ronen Talmon +1
Alternating Diffusion (AD) is a commonly applied diffusion-based sensor fusion algorithm. While it has been successfully applied to various problems, its computational burden remai…
Sample Complexity of Kernel-Based Q-Learning
Sing-Yuan Yeh, Fu-Chieh Chang, Chang-Wei Yueh +3
Modern reinforcement learning (RL) often faces an enormous state-action space. Existing analytical results are typically for settings with a small number of state-actions, or simpl…