Titlebook: Data Science; 5th International Co Rui Mao,Hongzhi Wang,Zeguang Lu Conference proceedings 2019 Springer Nature Singapore Pte Ltd. 2019 arti

預(yù)測(cè)

Method for Recognition Pneumonia Based on Convolutional Neural Networkations in feature extraction and scope of application. To solve this problem, a pneumonia recognition is proposed based on convolutional neural network. Firstly, the morphological preprocessing operation was performed on the chest X-ray. Secondly, the convolutional layer containing the 1?*?1 convolu

暖昧關(guān)系

進(jìn)步

Kernelized Correlation Filter Target Tracking Algorithm Based on Saliency Feature Selection filter target tracking algorithm based on online saliency feature selection and fusion is proposed. It combined the correlation filter tracking framework and the salient feature model of the target. In the tracking process, the maximum Kernel correlation filter response values of different feature

Optimum

思想流動(dòng)

groggy

1865-0929 entists, Engineers and Educators, ICPCSEE 2019 held in Guilin, China, in September 2019.?.The 104 revised full papers presented in these two volumes were carefully reviewed and selected from 395 submissions. The papers cover a wide range of topics related to basic theory and techniques for data scie

macrophage

Conference proceedings 2019lly reviewed and selected from 395 submissions. The papers cover a wide range of topics related to basic theory and techniques for data science including data mining; data base; net work; security; machine learning; bioinformatics; natural language processing; software engineering; graphic images; system; education; application..

束以馬具

異常

https://doi.org/10.1007/978-3-319-71722-7 network to process the text, and a superimposed attention mechanism is proposed. The model was constructed by combining a convolutional neural network with a superimposed attention mechanism. It shows that good results are achieved on the Stanford question answering dataset (SQuAD).

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