Feature fusion based on joint sparse representations and wavelets for multiview classification
CC BY
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| Định dạng: | Sách |
| Ngôn ngữ: | English |
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Springer
2023
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| Truy cập trực tuyến: | https://link.springer.com/article/10.1007/s10044-022-01110-2 https://dlib.phenikaa-uni.edu.vn/handle/PNK/8290 |
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oai:localhost:PNK-82902023-04-25T07:29:15Z Feature fusion based on joint sparse representations and wavelets for multiview classification Younes, Akbari Omar, Elharrouss Somaya, Al-Maadeed Feature fusion multiview classification CC BY Feature-level-based fusion has attracted much interest. Generally, a dataset can be created in different views, features, or modalities. To improve the classification rate, local information is shared among different views by various fusion methods. However, almost all the methods use the views without considering their common aspects. In this paper, wavelet transform is considered to extract high and low frequencies of the views as common aspects to improve the classification rate. The fusion method for the decomposed parts is based on joint sparse representation in which a number of scenarios can be considered. The presented approach is tested on three datasets. The results obtained by this method prove competitive performance in terms of the datasets compared to the state-of-the-art results. 2023-04-25T07:29:15Z 2023-04-25T07:29:15Z 2022 Book https://link.springer.com/article/10.1007/s10044-022-01110-2 https://dlib.phenikaa-uni.edu.vn/handle/PNK/8290 en application/pdf Springer |
| institution |
Digital Phenikaa |
| collection |
Digital Phenikaa |
| language |
English |
| topic |
Feature fusion multiview classification |
| spellingShingle |
Feature fusion multiview classification Younes, Akbari Omar, Elharrouss Somaya, Al-Maadeed Feature fusion based on joint sparse representations and wavelets for multiview classification |
| description |
CC BY |
| format |
Book |
| author |
Younes, Akbari Omar, Elharrouss Somaya, Al-Maadeed |
| author_facet |
Younes, Akbari Omar, Elharrouss Somaya, Al-Maadeed |
| author_sort |
Younes, Akbari |
| title |
Feature fusion based on joint sparse representations and wavelets for multiview classification |
| title_short |
Feature fusion based on joint sparse representations and wavelets for multiview classification |
| title_full |
Feature fusion based on joint sparse representations and wavelets for multiview classification |
| title_fullStr |
Feature fusion based on joint sparse representations and wavelets for multiview classification |
| title_full_unstemmed |
Feature fusion based on joint sparse representations and wavelets for multiview classification |
| title_sort |
feature fusion based on joint sparse representations and wavelets for multiview classification |
| publisher |
Springer |
| publishDate |
2023 |
| url |
https://link.springer.com/article/10.1007/s10044-022-01110-2 https://dlib.phenikaa-uni.edu.vn/handle/PNK/8290 |
| _version_ |
1764177438493900800 |
| score |
8.887836 |