Source Code
Content-based Image Retrieval based on Multi-Modal Deep Metric Learning
- Roostaiyan, Seyed Mahdi , Ehsan Imani, and Mahdieh Soleymani Baghshah. ”Multi-Modal Deep Distance Metric Learning.” Intelligent Data Analysis, 21, no. 6 (2017): 1351-1369.
This source code is suitable for a wide range of Metric Learning (or Similarity Measure Learning) applications such as "Content-based Image Retrieval" in which data contains different views (e.g., obtained by various feature extraction techniques) or modalities (e.g. annotated image).
Implemented Papers (This implementations have been done for research purposes and independent from authors).
2. Wang, Xiudong, and Yuantao Gu. "Cross-label suppression: A discriminative and fast dictionary learning with group regularization." IEEE Transactions on Image Processing 26, no. 8 (2017): 3859-3873.
It might be necessary to get copyright permission from authors before publishing.
This source code is implemented based on this paper (MATLAB).
3. Xu, Yong, Wangmeng Zuo, and Zizhu Fan. "Supervised sparse representation method with a heuristic strategy and face recognition experiments." Neurocomputing 79 (2012): 125-131.
It might be necessary to get copyright permission from authors before publishing.
This source code is implemented based on this paper (MATLAB).
4. Yang, Banghua, Kaiwen Duan, Chengcheng Fan, Chenxiao Hu, and Jinlong Wang. "Automatic ocular artifacts removal in EEG using deep learning." Biomedical Signal Processing and Control 43 (2018): 148-158.
It might be necessary to get copyright permission from authors before publishing.
This source code is implemented based on this paper (Python).
5. Huang, Bo, Huihui Song, Hengbin Cui, Jigen Peng, and Zongben Xu. "Spatial and spectral image fusion using sparse matrix factorization." IEEE Transactions on Geoscience and Remote Sensing 52, no. 3 (2014): 1693-1704.
It might be necessary to get copyright permission from authors before publishing.
This source code is implemented based on this paper (Matlab).