HIGHLIGHTS
- who: Xiaoli Huang and collaborators from the Research Institution of Signal Detection and Information Processing Technology, Xihua University, Chengdu, China have published the article: Design and Application of Deep Hash Embedding Algorithm with Fusion Entity Attribute Information, in the Journal: Entropy 2023, 25, 361. of /2023/
- what: The authors develop a deep hash embedding model that combines information about entity attributes to improve representation. After the model is trained, the eigenvalues of the entity are input to the neural_network for calculation, and the d-dimensional output of the calculation result of the last hidden layer . . .
If you want to have access to all the content you need to log in!
Thanks :)
If you don't have an account, you can create one here.