Underdetermined DOA Estimation of Off-Grid Sources Based on the Generalized Double Pareto Prior

no code implementations • 18 Apr 2024 • Yongfeng Huang, Zhendong Chen, Kun Ye, Lang Zhou, Haixin Sun

In this letter, we investigate a new generalized double Pareto based on off-grid sparse Bayesian learning (GDPOGSBL) approach to improve the performance of direction of arrival (DOA) estimation in underdetermined scenarios.

Bayesian Inference

MNER-QG: An End-to-End MRC framework for Multimodal Named Entity Recognition with Query Grounding

no code implementations • 27 Nov 2022 • Meihuizi Jia, Lei Shen, Xin Shen, Lejian Liao, Meng Chen, Xiaodong He, Zhendong Chen, Jiaqi Li

Multimodal named entity recognition (MNER) is a critical step in information extraction, which aims to detect entity spans and classify them to corresponding entity types given a sentence-image pair.

named-entity-recognition Named Entity Recognition +4