XY Jia, SS Zhu, WW Li - Journal of Computer Science and Technology, 2020 - Springer
… • We propose a novel multi-labellearning method by learninglabel-specific features based on correlation information, named LFCMLL. • l1-regularization is applied to sparse the weight …
X Jia, Z Li, X Zheng, W Li… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
… share different labelcorrelations, and few labelcorrelations are … In this paper, two novel label distribution learning algorithms … two label distribution learning algorithms by exploiting label …
T Ren, X Jia, W Li, S Zhao - Proceedings of the 28th International Joint …, 2019 - dl.acm.org
… is applied to capture the global labelcorrelations. In addition, the labelcorrelation among local samples are adopted to modify the labelcorrelation matrix. The experimental results on …
… -order labelcorrelations and make predictions in a joint manner. To show the effectiveness of jointlearning… that the jointlearning manner outperforms the step-wise learning significantly. …
J Xiao, S Tang - 2020 IEEE Conference on Multimedia …, 2020 - ieeexplore.ieee.org
… explicit labelcorrelations. In this paper, we deal with this problem by … learning the binary classifiers and pairwise labelcorrelations (JBP) in an end-to-end manner. For pairwise learning, …
L Sun, S Feng, J Liu, G Lyu… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
… multi-labellearning. In this work, the label correlation is divided into the global labelcorrelation … In order to prove the effect of global and local labeljointcorrelations, we remove the low …
… can use labelcorrelations to enhance the learning process of label-… the algorithms combine labelcorrelations and label-specific … In this paper, a new multi-labeljointlearning algorithm …
J Li, P Li, X Hu, K Yu - Pattern recognition, 2022 - Elsevier
… consider the labelcorrelation and the instance correlation … of labelcorrelation used in many existing multi-labellearning … labelcorrelations, that is, if two labels are strongly correlated, …
ZF He, M Yang, Y Gao, HD Liu, Y Yin - Knowledge-Based Systems, 2019 - Elsevier
… also allows the jointlearning of multi-label classification and labelcorrelations. Meanwhile, … In this paper, we try to address the following problems in a jointlearning framework, ie, how …