Data Classification Algorithm Based on Sparse Decomposition QIAO Yi; GUO Qi-yong; SHEN Yi-fan Computer Engineering. 2010, 36(5): 57-58,6. https://doi.org/10.3969/j.issn.1000-3428.2010.05.021 Abstract ( ) Download PDF ( ) Reverse Nearest Neighbor Query Based on Delaunay Diagram WANG...
For a network of CAD/CAM systems, a mainframe computer is often an essential part of the installation, providing for the storage and management of the data. It may also provide the engineering users with access to other systems and other parts of the company through national and international ...
In the same vein, the layers of social-ware become more sophisticated than the typical layers (network, application, compilers, assemblers, linkers, and loaders) of conventional computers. The communication media for social machines is decidedly superior to the media (base metallic, fiber, and ...
The task in this case changes from single frame classification to frame sequence classification. We used 2 different models for such an approach 3D convolutional and Bi-LSTM. 3D convolutional model Temporal feature locality assumption that 3D convolutional model has, seems reasonable in this case, ...
To solve the problem that most computer network security assessment systems cannot comprehensively analyze data, this article proposes a research method for computer network confidentiality information security system based on the Bayesian classification algorithm. This research takes the computer network securi...
Wei, L., et al.: A single-shot multi-level feature reused neural network for object detection. Vis. Comput. (2020). https://doi.org/10.1007/s00371-019-01787-3 Article Google Scholar Hascoet, T., et al.: Semantic embeddings of generic objects for zero-shot learning. J. Image Video...
The following diagram illustrates how a CNN for an image classification model works: Images with known labels (for example, 0: apple, 1: banana, or 2: orange) are fed into the network to train the model. One or more layers of filters is used to extract features from each image as ...
The architecture diagram of the system network operation is shown in Figure 5. Open in figure viewerPowerPoint As can be seen from Figure 5, the system uses a web server and a database server because, considering the scalability of the system and the pressure on the server during multiuser...
analysis and classification is helpful where a significant research contribution is being made in the literature. This chapter proposes a parallel combination of convolutionalneural network(CNN) and long-short-term memory (LSTM) structure for EEG signal analysis and apnea classification. The performance ...
Leveraging Computer Vision for Automatic Modulation Classification: Insights from Spectrum and Constellation Diagram AnalysisAutomated modulation recognition is a challenging task in communication systems. Leveraging recent advancements in transfer learning, this paper proposes a novel method for automatic ...