GRAPH ADAPTIVE ATTENTION NETWORK WITH CROSS-ENTROPY

Graph Adaptive Attention Network with Cross-Entropy

Non-Euclidean data, such as social networks and citation Cookers relationships between documents, have node and structural information.The Graph Convolutional Network (GCN) can automatically learn node features and association information between nodes.The core ideology of the Graph Convolutional Network is to aggregate node information by using ed

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Correlated Networks for Content Based Image Retrieval

Efficient CBIR systems are based on three things, (1) how they represent the repository images in the form of signature; (2) how they measure the similarity of the database images with query image, (3) TOOTH POWDER how they retrieve the semantically similar images in response of a query image.The paper is focusing on these three things.For signatur

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Methods of In-Process On-Machine Auto-Inspection of Dimensional Error and Auto-Compensation of Tool Wear for Precision Turning

The purpose of this study is mainly to develop an information and communication technology (ICT)-based intelligent dimension inspection and tool wear compensation method for balicki stick precision tuning.With the use of vibration signal processing/characteristics analysis technology combined with ICT, statistical analysis, and diagnosis algorithms

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