Weak correlation dictionary construction method for sparse coding
| العنوان: | Weak correlation dictionary construction method for sparse coding |
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| المؤلفون: | Li Zhuo, Haixia Long, Jing Zhang, Panling Qu |
| المصدر: | Journal of Shanghai Jiaotong University (Science). 22:77-81 |
| بيانات النشر: | Springer Science and Business Media LLC, 2017. |
| سنة النشر: | 2017 |
| مصطلحات موضوعية: | Multidisciplinary, K-SVD, Correlation coefficient, Contextual image classification, Matching (graph theory), Computer science, business.industry, Initialization, 020206 networking & telecommunications, Pattern recognition, 02 engineering and technology, Computer Science::Computer Vision and Pattern Recognition, 0202 electrical engineering, electronic engineering, information engineering, 020201 artificial intelligence & image processing, Pyramid (image processing), Artificial intelligence, business, Neural coding, Representation (mathematics) |
| الوصف: | For sparse coding, the weaker the correlation of dictionary atoms is, the better the representation capacity of dictionary will be. A weak correlation dictionary construction method for sparse coding has been proposed in this paper. Firstly, a new dictionary atom initialization is proposed in which data samples with weak correlation are selected as the initial dictionary atoms in order to effectively reduce the correlation among them. Then, in the process of dictionary learning, the correlation between atoms has been measured by correlation coefficient, and strong correlation atoms have been eliminated and replaced by weak correlation atoms in order to improve the representation capacity of the dictionary. An image classification scheme has been achieved by applying the weak correlation dictionary construction method proposed in this paper. Experimental results show that, the proposed method averagely improves image classification accuracy by more than 2%, compared to sparse coding spatial pyramid matching (ScSPM) and other existing methods for image classification on the datasets of Caltech-101, Scene-15, etc. |
| تدمد: | 1995-8188 1007-1172 |
| URL الوصول: | https://explore.openaire.eu/search/publication?articleId=doi_________::f922fd8d23953508083b6e23f5b18cc9 https://doi.org/10.1007/s12204-017-1803-y |
| حقوق: | CLOSED |
| رقم الأكسشن: | edsair.doi...........f922fd8d23953508083b6e23f5b18cc9 |
| قاعدة البيانات: | OpenAIRE |
Find this article in full text from Springer Verlag. | تدمد: | 19958188 10071172 |
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