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📄[article][app_parkinson_article]\n* [↖️](applications/face%20reconstruction%20with%20PCA.ipynb) Face Reconstruction with PCA\n\n## 🆕 🔥 [SMLFDL](applications/SMLFDL.py)  - 📄[article][SMLFDL_article]\n\u003csub\u003e\u003cb\u003eSVMs multi-class loss feedback based discriminative dictionary learning for image classification\u003c/b\u003e\u003c/sub\u003e  \n\n\u003e SMLFDL integrates dictionary learning and support vector machines training into a unified learning\nframework by looping the designed multi-class loss term, which\nis inspired by the feedback mechanism in cybernetics.\n\nanalysis has been done on scene-15 dataset.   \nFeature vectors has been prepared by four-level `spatial pyramid`, dense `DAISY` feature description followed by PCA.  \nAs article proposed SMLFDL are faster in predictions and converge in lower epochs.  \n\u003csub\u003ecode for features will be added soon.\u003c/sub\u003e\n\n\n[app_parkinson_data]: https://archive.ics.uci.edu/ml/datasets/Parkinson%27s+Disease+Classification#\n[app_parkinson_article]: https://linkinghub.elsevier.com/retrieve/pii/S1568494618305799\n[UDA_data]: http://mason.gmu.edu/~lzhao9/materials/data/UAV/data/pub_dataset1.mat\n[UDA_article]: https://dl.acm.org/doi/10.1145/3219819.3220117\n[SMLFDL_article]: https://www.sciencedirect.com/science/article/abs/pii/S0031320320304933\n","funding_links":[],"categories":[],"sub_categories":[],"project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Frealamirhe%2Fleaf-node","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Frealamirhe%2Fleaf-node","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Frealamirhe%2Fleaf-node/lists"}