Proposal of cascade neural network model for text document space dimension reduction by latent semantic indexing

Mokris, I.; Skovajsová, Lenka

doi:10.1109/sami.2008.4469139

Cited by 3 publications

(1 citation statement)

References 4 publications

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“…Deep learning methods have been successfully used in many applications in the computer field, including speech recognition, speech search, natural language understanding, information retrieval, and robotics. Mokris and Skovajsova [42] applied the neural network model to have a high degree of relevance. It retrieved Slovak-related documents, processed keyword parts of speech, and greatly improved accuracy and recall.…”

Section: Related Workmentioning

confidence: 99%

A Face Occlusion Removal and Privacy Protection Method for IoT Devices Based on Generative Adversarial Networks

Zhu

Wang

et al. 2021

Wireless Communications and Mobile Computing

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The device group based on the Internet of Things (IoT) has been used in face recognition in real life, so it is more necessary to discuss the current data security issues and social hot issues. The Internet of Things device combines edge conditions and many recognizers to generative adversarial networks. On the premise of meeting the needs of partial occlusion of users, face recovery is completed through information reorganization. CelebA training set is used to simulate face occlusion, and the model is trained and tested. The results show that the method can recover the complete image of the protection for the facial privacy of specific people. At the same time, the IoT device using this method ensures that the face information is not easy to have tampered with when attacked.

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Section: Related Workmentioning

confidence: 99%