Examining convolutional feature extraction using Maximum Entropy (ME) and Signal-to-Noise Ratio (SNR) for image classification

Nidhi Gowdra, Roopak Sinha, Stephen MacDonell. Examining convolutional feature extraction using Maximum Entropy (ME) and Signal-to-Noise Ratio (SNR) for image classification. In The 46th Annual Conference of the IEEE Industrial Electronics Society, IECON 2020, Singapore, October 18-21, 2020. pages 471-476, IEEE, 2020. [doi]

@inproceedings{GowdraSM20a,
  title = {Examining convolutional feature extraction using Maximum Entropy (ME) and Signal-to-Noise Ratio (SNR) for image classification},
  author = {Nidhi Gowdra and Roopak Sinha and Stephen MacDonell},
  year = {2020},
  doi = {10.1109/IECON43393.2020.9254346},
  url = {https://doi.org/10.1109/IECON43393.2020.9254346},
  researchr = {https://researchr.org/publication/GowdraSM20a},
  cites = {0},
  citedby = {0},
  pages = {471-476},
  booktitle = {The 46th Annual Conference of the IEEE Industrial Electronics Society, IECON 2020, Singapore, October 18-21, 2020},
  publisher = {IEEE},
  isbn = {978-1-7281-5414-5},
}