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Multi-Level Discriminative Dictionary Learning With Application to Large Scale Image Classification
Li Shen1; Gang Sun1,2; Qingming Huang1,3; Shuhui Wang3; Zhouchen Lin4,5; Enhua Wu2,6
2015-10-01
Source PublicationIEEE Transactions on Image Processing
ISSN10577149
Volume24Issue:10Pages:3109-3123
Abstract

The sparse coding technique has shown flexibility and capability in image representation and analysis. It is a powerful tool in many visual applications. Some recent work has shown that incorporating the properties of task (such as discrimination for classification task) into dictionary learning is effective for improving the accuracy. However, the traditional supervised dictionary learning methods suffer from high computation complexity when dealing with large number of categories, making them less satisfactory in large scale applications. In this paper, we propose a novel multi-level discriminative dictionary learning method and apply it to large scale image classification. Our method takes advantage of hierarchical category correlation to encode multi-level discriminative information. Each internal node of the category hierarchy is associated with a discriminative dictionary and a classification model. The dictionaries at different layers are learnt to capture the information of different scales. Moreover, each node at lower layers also inherits the dictionary of its parent, so that the categories at lower layers can be described with multi-scale information. The learning of dictionaries and associated classification models is jointly conducted by minimizing an overall tree loss. The experimental results on challenging data sets demonstrate that our approach achieves excellent accuracy and competitive computation cost compared with other sparse coding methods for large scale image classification. © 1992-2012 IEEE.

KeywordSparse Coding Discriminative Dictionary Learning Hierarchical Method Large Scale Classification
DOI10.1109/TIP.2015.2438548
Indexed BySCI
Language英语
WOS Research AreaComputer Science ; Engineering
WOS SubjectComputer Science, Artificial Intelligence ; Engineering, Electrical & Electronic
WOS IDWOS:000356539800001
The Source to ArticleEngineering Village
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Citation statistics
Cited Times [WOS]:25   [WOS Record]     [Related Records in WOS]
Document TypeJournal article
CollectionDEPARTMENT OF COMPUTER AND INFORMATION SCIENCE
Faculty of Science and Technology
Affiliation1.University of Chinese, Academy of Sciences, Beijing; 100049, China;
2.State Key Laboratory of Computer Science, Institute of Software, Chinese Academy of Sciences, Beijing; 100190, China;
3.Key Laboratory of Intelligent Information Processing, Institute of Computing Technology, Chinese Academy of Sciences, Beijing; 100190, China;
4.Laboratory of Machine Perception, School of Electrical Engineering and Computer Science, Peking University, Beijing; 100871, China;
5.Cooperative Medianet, Innovation Center, Shanghai Jiao Tong University, Shanghai; 200240, China;
6.University of Macau, 999078, China
Recommended Citation
GB/T 7714
Li Shen,Gang Sun,Qingming Huang,et al. Multi-Level Discriminative Dictionary Learning With Application to Large Scale Image Classification[J]. IEEE Transactions on Image Processing,2015,24(10):3109-3123.
APA Li Shen,Gang Sun,Qingming Huang,Shuhui Wang,Zhouchen Lin,&Enhua Wu.(2015).Multi-Level Discriminative Dictionary Learning With Application to Large Scale Image Classification.IEEE Transactions on Image Processing,24(10),3109-3123.
MLA Li Shen,et al."Multi-Level Discriminative Dictionary Learning With Application to Large Scale Image Classification".IEEE Transactions on Image Processing 24.10(2015):3109-3123.
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