Characterization inference based on joint-optimization of multi-layer semantics and deep fusion matching network. [PDF]
PeerJ Comput Sci, 2022 The whole sentence representation reasoning process simultaneously comprises a sentence representation module and a semantic reasoning module. This paper combines the multi-layer semantic representation network with the deep fusion matching network to ...
Zheng W, Yin L.
europepmc +2 more sources
Matching Network Design for Ultrasonic Guided Wave Interdigital Transducers [PDF]
SensorsUltrasonic guided wave interdigital transducers realized with piezoelectric materials are of interest for structural health monitoring systems because of their capability of performing Lamb wave mode selection with respect to single-element transducers ...
Lorenzo Capineri
doaj +2 more sources
Learning Reward Function with Matching Network for Mapless Navigation [PDF]
Sensors, 2020 Deep reinforcement learning (DRL) has been successfully applied in mapless navigation. An important issue in DRL is to design a reward function for evaluating actions of agents.
Qichen Zhang +4 more
doaj +2 more sources
A Deep Fusion Matching Network Semantic Reasoning Model
Applied Sciences (Switzerland), 2022 As the vital technology of natural language understanding, sentence representation reasoning technology mainly focuses on sentence representation methods and reasoning models.
Wenfeng Zheng, Shan Liu, Jiawei Tian
exaly +2 more sources
Reliability Analysis and Optimization of a Reconfigurable Matching Network for Communication and Sensing Antennas in Dynamic Environments through Gaussian Process Regression [PDF]
SensorsDuring the implementation of the Internet of Things (IoT), the performance of communication and sensing antennas that are embedded in smart surfaces or smart devices can be affected by objects in their reactive near field due to detuning and antenna ...
Seppe Van Brandt +7 more
doaj +2 more sources
Boosting the Speed of Entity Alignment 10 ×: Dual Attention Matching Network with Normalized Hard Sample Mining [PDF]
The Web Conference, 2021 Seeking the equivalent entities among multi-source Knowledge Graphs (KGs) is the pivotal step to KGs integration, also known as entity alignment (EA). However, most existing EA methods are inefficient and poor in scalability.
Xin Mao +3 more
semanticscholar +1 more source
Learning to Match Features with Seeded Graph Matching Network [PDF]
IEEE International Conference on Computer Vision, 2021 Matching local features across images is a fundamental problem in computer vision. Targeting towards high accuracy and efficiency, we propose Seeded Graph Matching Network, a graph neural network with sparse structure to reduce redundant connectivity and
Hongkai Chen +7 more
semanticscholar +1 more source
Code Synonyms Do Matter: Multiple Synonyms Matching Network for Automatic ICD Coding [PDF]
Annual Meeting of the Association for Computational Linguistics, 2022 Automatic ICD coding is defined as assigning disease codes to electronic medical records (EMRs).Existing methods usually apply label attention with code representations to match related text snippets.Unlike these works that model the label with the code ...
Zheng Yuan, Chuanqi Tan, Songfang Huang
semanticscholar +1 more source
Learn to Match: Automatic Matching Network Design for Visual Tracking [PDF]
IEEE International Conference on Computer Vision, 2021 Siamese tracking has achieved groundbreaking performance in recent years, where the essence is the efficient matching operator cross-correlation and its variants. Besides the remarkable success, it is important to note that the heuristic matching network
Zhipeng Zhang +4 more
semanticscholar +1 more source
Journal of Applied Science and Engineering, 2022 The crowd density estimation has important application value in intelligent safety prevention, traffic safety and tourist attractions safety prevention, etc.
XiaojunWang
doaj +1 more source