CASIA OpenIR  > 精密感知与控制研究中心  > 人工智能与机器学习
Semisupervised Multilabel Learning With Joint Dimensionality Reduction
Yu, Tingzhao; Zhang, Wensheng; Tingzhao Yu
Source PublicationIEEE SIGNAL PROCESSING LETTERS
2016-06-01
Volume23Issue:6Pages:795-799
SubtypeArticle
AbstractMutlilabel 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.
KeywordAlternating Method Dimensionality Reduction Dual Problem Multilabel Classification Semisupervised Learning
WOS HeadingsScience & Technology ; Technology
DOI10.1109/LSP.2016.2554361
WOS KeywordTEXT CATEGORIZATION ; LABEL RANKING ; CLASSIFICATION
Indexed BySCI
Language英语
WOS Research AreaEngineering
WOS SubjectEngineering, Electrical & Electronic
WOS IDWOS:000375305700005
Citation statistics
Cited Times:4[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/11832
Collection精密感知与控制研究中心_人工智能与机器学习
Corresponding AuthorTingzhao Yu
AffiliationChinese Acad Sci, Inst Automat, Beijing 100190, Peoples R China
Recommended Citation
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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