A5010177434- Natural Language Processing Techniques
- Topic Modeling
- Synthetic Aperture Radar (SAR) Applications and Techniques
- Vehicle License Plate Recognition
- Text and Document Classification Technologies
- Handwritten Text Recognition Techniques
- Image Processing and 3D Reconstruction
- Advanced Text Analysis Techniques
- Advanced SAR Imaging Techniques
- Underwater Acoustics Research
Chengdu University of Technology
2024
Southwest University
2023
To address the issue of low interpretability in deep learning-based methods for mining multi-layer features from synthetic aperture radar (SAR) target samples, non-negative matrix factorization (DNMF) technique is proposed. However, DNMF needs to face trade-off between high-precision recognition and efficient feature extraction as number SAR samples increases. In this letter, we propose <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">l</i>...
Named entity recognition and relation extraction are essential for structured information construction. However, existing methods, particularly in the field of prediction, struggled with redundancy. In addition, conventional classification models only focus on predicting labels comparing them to ground truth, without considering values semantics labels. this paper, we propose a novel end-to-end joint model named PGLR (Pseudo Graph Label Reuse Entity Relation Extraction), which mainly...