Greedy sensor selection: Leveraging submodularity based on volume ratio of information ellipsoid
This article focuses on greedy approaches to select the most informative sensors from
candidates to maximize the Fisher information, ie, the determinant of the Fisher information …
candidates to maximize the Fisher information, ie, the determinant of the Fisher information …
Fast MSE-Based Sampling of Bandlimited Graph Signals via Low-Pass Impulse Responses
Sampling is a fundamental problem in graph signal processing that selects a node subset to
collect samples, so that data in the remaining nodes can be well recovered. Existing eigen …
collect samples, so that data in the remaining nodes can be well recovered. Existing eigen …
Graph-Enhanced Hybrid Sampling for Multi-Armed Bandit Recommendation
Graph-based multi-armed bandit algorithms utilize the relationship between users to select
the best item to recommend for maximal reward, which is decided by items' features and un …
the best item to recommend for maximal reward, which is decided by items' features and un …