Title | ||
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Multi-View Multi-Instance Learning Based on Joint Sparse Representation and Multi-View Dictionary Learning. |
Abstract | ||
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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 learni... |
Year | DOI | Venue |
---|---|---|
2017 | 10.1109/TPAMI.2017.2669303 | IEEE Transactions on Pattern Analysis and Machine Intelligence |
Keywords | Field | DocType |
Dictionaries,Learning systems,Support vector machines,Sparse matrices,Adaptation models,Context modeling,Euclidean distance | Kernel (linear algebra),Graph,Contextual information,Dictionary learning,K-SVD,Pattern recognition,Computer science,Sparse approximation,Euclidean distance,Support vector machine,Theoretical computer science,Artificial intelligence | Journal |
Volume | Issue | ISSN |
39 | 12 | 0162-8828 |
Citations | PageRank | References |
10 | 0.48 | 27 |
Authors | ||
7 |
Name | Order | Citations | PageRank |
---|---|---|---|
Bing Li | 1 | 234 | 11.37 |
Chunfeng Yuan | 2 | 418 | 30.84 |
Weihua Xiong | 3 | 296 | 17.96 |
Weiming Hu | 4 | 5300 | 261.38 |
Houwen Peng | 5 | 183 | 8.74 |
Xinmiao Ding | 6 | 46 | 3.16 |
Stephen J. Maybank | 7 | 4105 | 493.12 |