Human age estimation using Multi-Frequency Biologically Inspired Features (MF-BIF)

Raphael Angulu, Jules-Raymond Tapamo, Aderemi Oluyinka Adewumi. Human age estimation using Multi-Frequency Biologically Inspired Features (MF-BIF). In IEEE AFRICON 2017, Cape Town, South Africa, September 18-20, 2017. pages 26-31, IEEE, 2017. [doi]

@inproceedings{AnguluTA17-0,
  title = {Human age estimation using Multi-Frequency Biologically Inspired Features (MF-BIF)},
  author = {Raphael Angulu and Jules-Raymond Tapamo and Aderemi Oluyinka Adewumi},
  year = {2017},
  doi = {10.1109/AFRCON.2017.8095450},
  url = {https://doi.org/10.1109/AFRCON.2017.8095450},
  researchr = {https://researchr.org/publication/AnguluTA17-0},
  cites = {0},
  citedby = {0},
  pages = {26-31},
  booktitle = {IEEE AFRICON 2017, Cape Town, South Africa, September 18-20, 2017},
  publisher = {IEEE},
  isbn = {978-1-5386-2775-4},
}