A Fast Graph Construction-Driven Rotating Machine Fault Diagnosis Method Using Edge Predictor [0.03%]
一种快速的基于图构建的旋转机械故障诊断方法及边预测器的应用
Chaoying Yang,Jie Liu,Yue Wang et al.
Chaoying Yang et al.
Graph-based machine fault diagnosis methods are successfully used in extracting relationship information. However, the heavy computational burden of K-nearest neighbor graph (KNNG) has limited its application. To overcome it, a fast graph c...
Weakly Supervised Object Localization With Progressive Activation Diffusion [0.03%]
具有渐进激活扩散的弱监督目标定位
Can Xu,Le Hui,Jin Xie et al.
Can Xu et al.
Weakly supervised object localization (WSOL) aims to locate objects with only image-level labels. Previous works mainly follow the framework of class activation map (CAM), which discovers the objects by estimating the contribution of each p...
Haonan Xin,Danyang Wu,Jitao Lu et al.
Haonan Xin et al.
Graph-based multiview clustering methods have gained significant attention in recent years. In particular, incorporating graph filtering into these methods allows for the exploration and utilization of both feature and topological informati...
Adaptive Boundary Control for Synchronization of Reaction-Diffusion Neural Networks With Random Time-Varying Delay [0.03%]
具有随机时变延迟的反应扩散神经网络同步自适应边界控制
Xu Zhang,Biao Luo,Zi-Peng Wang et al.
Xu Zhang et al.
This article addresses the synchronization problem of reaction-diffusion neural networks (RDNNs) with random time-varying delay (RTVD) via boundary control (BC) (including adaptive BC and BC with constant-valued gain) under distributed meas...
Arik Reuter,Anton Thielmann,Christoph Weisser et al.
Arik Reuter et al.
The field of topic modelling was mostly dominated by Bayesian graphical models during the last decade. With the rise of transformers in natural language processing, however, several successful models that rely on straightforward clustering ...
S3INet: Semantic-Information Space Sharing Interaction Network for Arbitrary Shape Text Detection [0.03%]
S3INet：用于任意形状文本检测的语义信息空间共享交互网络
Runmin Wang,Hua Chen,Yanbin Zhu et al.
Runmin Wang et al.
The detecting arbitrary shape text is a challenging task due to the significant variation in text shape, size, and aspect ratio, as well as the complexity of scene backgrounds. The enhancing feature extraction capabilities is essential for ...
CUDA-X: Unsupervised Domain-Adaptive Vehicle-to-Everything Collaboration via Knowledge Transfer and Alignment [0.03%]
CUDA-X：通过知识转移和对齐实现无监督领域自适应的车联万物协作
Hongbo Yin,Daxin Tian,Chunmian Lin et al.
Hongbo Yin et al.
Recently emerged vehicle-to-everything (V2X) perception has revealed great potential to overcome the limitation of single-vehicle intelligence aided by vigorous interaction among on-road agents, while prior endeavors are practically develop...
PHFS: Progressive Hierarchical Feature Selection Based on Adaptive Sample Weighting [0.03%]
基于自适应样本加权的渐进式层次特征选择方法
Hong Zhao,Jie Shi,Yang Zhang
Hong Zhao
Hierarchical feature selection is considered an effective technique to reduce the dimensionality of data with complex hierarchical label structures. Incorrect labels are a common and challenging issue in complex hierarchical data. However, ...
Multivariable Collaborative Modeling With Knowledge Transfer and Its Application in Soft Sensing of Iron Flotation Grade [0.03%]
基于知识迁移的多变量协作建模及其在铁矿浮选品位软测量中的应用
Dingsen Zhang,Yingwei Zhang,Kaicheng Shang et al.
Dingsen Zhang et al.
In the iron flotation production process, production stages often undergo updates due to equipment upgrades, changes in raw materials, and other reasons. The operating condition prediction model established based on data from previous produ...
Coupled Homogeneous Hopfield Neural Networks: Simplest Model Design, Synchronization, and Multiplierless Circuit Implementation [0.03%]
耦合的均匀Hopfield神经网络：最简单模型设计，同步和无乘法器电路实现
Fuhong Min,Chengjie Chen,Neil G R Broderick
Fuhong Min
When using a synapse as a coupler to connect neurons, parameter-based synchronization transitions have been investigated. However, the dependence on initial conditions has not been comprehensively discussed in the literature. This work pres...