2019
DOI: 10.32604/cmc.2019.05901
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Multi-Label Learning Based on Transfer Learning and Label Correlation

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Cited by 6 publications
(2 citation statements)
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“…(2)  is the labeling of the motion posture feature of image 2. According to this Equation, the images in the set can be marked and sorted [18]. To set image feature statistical rules, there are Brazilian Archives of Biology and Technology.…”
Section: Feature Extraction Of Hmpmentioning
confidence: 99%
“…(2)  is the labeling of the motion posture feature of image 2. According to this Equation, the images in the set can be marked and sorted [18]. To set image feature statistical rules, there are Brazilian Archives of Biology and Technology.…”
Section: Feature Extraction Of Hmpmentioning
confidence: 99%
“…When the source domain has a large amount of calibration data and the target domain has only a small amount of calibration data, and the source domain and the target domain have some common generalization characteristics, the transfer learning can be used to apply the data pre-training model of the source domain to the task of the target domain to improve the performance of the model in the target domain [ 29 ]. In this paper, the time series data transfer learning refers to train the CLSTM network by the time series data, and then transfer the characteristic of the trained CLSTM network to a new CLSTM network and try to fine-tune the parameters of the new network by a new time series data.…”
Section: A Clstm and Transfer Learning Based Cfdama Schemementioning
confidence: 99%