Institutional Repository of Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100190, Peoples R China
| Multi-View Multi-Instance Learning Based on Joint Sparse Representation and Multi-View Dictionary Learning | |
Li, Bing1 ; Yuan, Chunfeng1; Xiong, Weihua1; Hu, Weiming2; Peng, Houwen1; Ding, Xinmiao1; Maybank, Steve3
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| Source Publication | IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
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| 2017-12-01 | |
| Volume | 39Issue:12Pages:2554-2560 |
| Subtype | Article |
| Abstract | In multi-instance learning (MIL), the relations among instances in a bag convey important contextual information in many applications. Previous studies on MIL either ignore such relations or simply model them with a fixed graph structure so that the overall performance inevitably degrades in complex environments. To address this problem, this paper proposes a novel multi-view multi-instance learning algorithm ((MIL)-I-2) that combines multiple context structures in a bag into a unified framework. The novel aspects are: (i) we propose a sparse epsilon-graph model that can generate different graphs with different parameters to represent various context relations in a bag, (ii) we propose a multi-view joint sparse representation that integrates these graphs into a unified framework for bag classification, and (iii) we propose a multi-view dictionary learning algorithm to obtain a multi-view graph dictionary that considers cues from all views simultaneously to improve the discrimination of the M2IL. Experiments and analyses in many practical applications prove the effectiveness of the M2IL. |
| Keyword | Multi-instance Learning Multi-view Sparse Representation Dictionary Learning |
| WOS Headings | Science & Technology ; Technology |
| DOI | 10.1109/TPAMI.2017.2669303 |
| WOS Keyword | IMAGE RETRIEVAL ; RECOGNITION ; CLASSIFICATION ; ALGORITHM |
| Indexed By | SCI |
| Language | 英语 |
| Funding Organization | Natural Science Foundation of China(61370038 ; 973 basic research program of China(2014CB349303) ; CAS(XDB02070003) ; Youth Innovation Promotion Association, CAS ; U1636218 ; 61472421 ; 61571045) |
| WOS Research Area | Computer Science ; Engineering |
| WOS Subject | Computer Science, Artificial Intelligence ; Engineering, Electrical & Electronic |
| WOS ID | WOS:000414395400017 |
| Citation statistics | |
| Document Type | 期刊论文 |
| Identifier | http://ir.ia.ac.cn/handle/173211/19566 |
| Collection | 模式识别国家重点实验室_视频内容安全 |
| Affiliation | 1.Chinese Acad Sci, Inst Automat, NLPR, Beijing 100190, Peoples R China 2.Univ Chinese Acad Sci, Chinese Acad Sci, Inst Automat,Natl Lab Pattern Recognit, CAS Ctr Excellence Brain Sci & Intelligence Techn, Beijing 100049, Peoples R China 3.Birkbeck Coll, Dept Comp Sci & Informat Syst, London WC1E 7HX, England |
| First Author Affilication | Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100190, Peoples R China |
| Recommended Citation GB/T 7714 | Li, Bing,Yuan, Chunfeng,Xiong, Weihua,et al. Multi-View Multi-Instance Learning Based on Joint Sparse Representation and Multi-View Dictionary Learning[J]. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE,2017,39(12):2554-2560. |
| APA | Li, Bing.,Yuan, Chunfeng.,Xiong, Weihua.,Hu, Weiming.,Peng, Houwen.,...&Maybank, Steve.(2017).Multi-View Multi-Instance Learning Based on Joint Sparse Representation and Multi-View Dictionary Learning.IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE,39(12),2554-2560. |
| MLA | Li, Bing,et al."Multi-View Multi-Instance Learning Based on Joint Sparse Representation and Multi-View Dictionary Learning".IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE 39.12(2017):2554-2560. |
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| Libing-Multi-view mu（352KB） | 期刊论文 | 作者接受稿 | 开放获取 | CC BY-NC-SA | View Download | |
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