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NRASP

Implementation For Unsupervised Feature Selection via Nonlinear Representation and Adaptive Structure Preservation (NRASP)

For the The 6th Chinese Conference on Pattern Recognition and Computer Vision, PRCV 2023

With refer to https://link.springer.com/chapter/10.1007/978-981-99-8540-1_12

If our article or code has been helpful to you, please use the following information for citation. ;)

@inproceedings{DBLP:conf/prcv/YuanLTZ23,
  author       = {Aihong Yuan and
                  Lin Lin and
                  Peiqi Tian and
                  Qinrong Zhang},
  editor       = {Qingshan Liu and
                  Hanzi Wang and
                  Zhanyu Ma and
                  Weishi Zheng and
                  Hongbin Zha and
                  Xilin Chen and
                  Liang Wang and
                  Rongrong Ji},
  title        = {Unsupervised Feature Selection via Nonlinear Representation and Adaptive
                  Structure Preservation},
  booktitle    = {Pattern Recognition and Computer Vision - 6th Chinese Conference,
                  {PRCV} 2023, Xiamen, China, October 13-15, 2023, Proceedings, Part
                  {VII}},
  series       = {Lecture Notes in Computer Science},
  volume       = {14431},
  pages        = {138--157},
  publisher    = {Springer},
  year         = {2023},
  url          = {https://doi.org/10.1007/978-981-99-8540-1\_12},
  doi          = {10.1007/978-981-99-8540-1\_12},
  biburl       = {https://dblp.org/rec/conf/prcv/YuanLTZ23.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}

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Implementation For Unsupervised Feature Selection via Nonlinear Representation and Adaptive Structure Preservation (NRASP)

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