Semisupervised Multilabel Learning With Joint Dimensionality Reduction

doi:10.1109/LSP.2016.2554361

CASIA OpenIR > 多模态人工智能系统全国重点实验室 > 人工智能与机器学习（杨雪冰）-技术团队

	Semisupervised Multilabel Learning With Joint Dimensionality Reduction
	Yu, Tingzhao; Zhang, Wensheng; Tingzhao Yu
发表期刊	IEEE SIGNAL PROCESSING LETTERS
	2016-06-01
卷号	23 期号:6 页码:795-799
文章类型	Article
摘要	Mutlilabel classification arises in various domains including computer vision and machine learning. Given a single instance, multilabel classification aims to learn a set of labels simultaneously. However, existing methods fail to address two key problems: 1) exploiting correlations among instances and 2) reducing computational complexity. In this letter, we propose a new semisupervised multilabel classification algorithm with joint dimensionality reduction. First, an elaborate matrix is designed for evaluating instance similarity; thus, it can take both labeled and unlabeled instances into consideration. Second, a linear dimensionality reduction matrix is added into the framework of multilabel classification. Besides, the dimensionality reduction matrix and the objective function can be optimized simultaneously. Finally, we design an efficient algorithm to solve the dual problem of the proposed model. Experiment results demonstrate that the proposed method is effective and promising.
关键词	Alternating Method Dimensionality Reduction Dual Problem Multilabel Classification Semisupervised Learning
WOS标题词	Science & Technology ; Technology
DOI	10.1109/LSP.2016.2554361
关键词[WOS]	TEXT CATEGORIZATION ; LABEL RANKING ; CLASSIFICATION
收录类别	SCI
语种	英语
WOS研究方向	Engineering
WOS类目	Engineering, Electrical & Electronic
WOS记录号	WOS:000375305700005
引用统计	被引频次：11[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.ia.ac.cn/handle/173211/11832
专题	多模态人工智能系统全国重点实验室_人工智能与机器学习（杨雪冰）-技术团队
通讯作者	Tingzhao Yu
作者单位	Chinese Acad Sci, Inst Automat, Beijing 100190, Peoples R China
第一作者单位	中国科学院自动化研究所
推荐引用方式 GB/T 7714	Yu, Tingzhao,Zhang, Wensheng,Tingzhao Yu. Semisupervised Multilabel Learning With Joint Dimensionality Reduction[J]. IEEE SIGNAL PROCESSING LETTERS,2016,23(6):795-799.
APA	Yu, Tingzhao,Zhang, Wensheng,&Tingzhao Yu.(2016).Semisupervised Multilabel Learning With Joint Dimensionality Reduction.IEEE SIGNAL PROCESSING LETTERS,23(6),795-799.
MLA	Yu, Tingzhao,et al."Semisupervised Multilabel Learning With Joint Dimensionality Reduction".IEEE SIGNAL PROCESSING LETTERS 23.6(2016):795-799.

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