Unsupervised Feature Selection via Adaptive Embedding and Sparse Learning for Parkinson's Disease Diagnosis

Zhongwei Huang, Haijun Lei, Guoliang Chen, Shiqi Li, Hancong Li, Ahmed El-Azab, Baiying Lei. Unsupervised Feature Selection via Adaptive Embedding and Sparse Learning for Parkinson's Disease Diagnosis. In Markus D. Schirmer, Archana Venkataraman, Islem Rekik, Minjeong Kim, Ai Wern Chung, editors, Connectomics in NeuroImaging - Third International Workshop, CNI 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 13, 2019, Proceedings. Volume 11848 of Lecture Notes in Computer Science, pages 1-9, Springer, 2019. [doi]

@inproceedings{HuangLCLLEL19,
  title = {Unsupervised Feature Selection via Adaptive Embedding and Sparse Learning for Parkinson's Disease Diagnosis},
  author = {Zhongwei Huang and Haijun Lei and Guoliang Chen and Shiqi Li and Hancong Li and Ahmed El-Azab and Baiying Lei},
  year = {2019},
  doi = {10.1007/978-3-030-32391-2_1},
  url = {https://doi.org/10.1007/978-3-030-32391-2_1},
  researchr = {https://researchr.org/publication/HuangLCLLEL19},
  cites = {0},
  citedby = {0},
  pages = {1-9},
  booktitle = {Connectomics in NeuroImaging - Third International Workshop, CNI 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 13, 2019, Proceedings},
  editor = {Markus D. Schirmer and Archana Venkataraman and Islem Rekik and Minjeong Kim and Ai Wern Chung},
  volume = {11848},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-030-32391-2},
}