Art

J-GLOBAL ID：201702271262153844   Reference number：17A1619667

READER: Robust Semi-Supervised Multi-Label Dimension Reduction

READER:ロバストな半教師付きマルチラベル次元低減

Author (3)： SUN Lu (Graduate School of Information Science and Technology, Hokkaido University) ,  KUDO Mineichi (Graduate School of Information Science and Technology, Hokkaido University) ,  KIMURA Keigo (Graduate School of Information Science and Technology, Hokkaido University)
Material： IEICE Transactions on Information and Systems (Web)  (IEICE Trans Inf Syst (Web))
Volume： E100.D  Issue： 10  Page： 2597-2604(J-STAGE)  Publication year： 2017 
JST Material Number： U0469A  ISSN： 1745-1361  Document type： Article
Article type： 原著論文  Country of issue： Japan (JPN)  Language： ENGLISH (EN)

Thesaurus term： robustness ,  *automatic classification ,  *classification ,  *dimensional reduction ,  supervised learning ,  outlier ,  correlation ,  loss function ,  space ,  objective function ,  convergence
Semi thesaurus term： robustness ,  *semi-supervised classification ,  *multi-label classification ,  *dimensional reduction ,  unsupervised classification ,  supervised classification ,  feature space ,  subspace ,  convergence property

Author keywords (5)： multi-label classification ,  semi-supervised dimension reduction ,  risk minimization ,  feature selection ,  manifold learning

JST classification (2)： Other computer utilization technology  (JE14000C) ,  Artificial intelligence  (JE08000Z)

Reference (24)：

• [1] K. Yu, S. Yu, and V. Tresp, “Multi-label informed latent semantic indexing,” Proceedings of the 28th ACM SIGIR, SIGIR '05, pp.258-265, 2005. 10.1145/1076034.1076080
• [2] M.R. Boutell, J. Luo, X. Shen, and C.M. Brown, “Learning multi-label scene classification,” Patt. Recog., vol.37, no.9, pp.1757-1771, 2004. 10.1016/j.patcog.2004.03.009
• [3] M.-L. Zhang and Z.-H. Zhou, “Ml-knn: A lazy learning approach to multi-label learning,” Patt. Recog., vol.40, no.7, pp.2038-2048, 2007. 10.1016/j.patcog.2006.12.019
• [4] T. Hastie, R. Tibshirani, and J. Friedman, The elements of statistical learning: data mining, inference and prediction, 2 ed., Springer, 2009.
• [5] J. Liu, S. Ji, and J. Ye, “Multi-task feature learning via efficient l2, 1-norm minimization,” Proceedings of the 25th UAI, pp.339-348, 2009.

Terms in the title (5)： ロバスト ,  教師 ,  マルチ ,  ラベル ,  次元低減