ML Anthology

Analyzing Images Containing Multiple Sparse Patterns with Neural Networks

Rangachari Anand, Kishan Mehrotra, Chilukuri K. Mohan, Sanjay Ranka
IJCAI 1991 pp. 838-843
doi:10.1016/0031-3203(93)90026-S /ijcai/1991/anand1991ijcai-analyzing/

Abstract

The problem of analyzing images containing multiple sparse overlapped patterns is addressed. This problem arises naturally when analyzing the composition of organic macromolecules using data gathered from their NMR spectra. Using a neural network approach, excellent results are obtained in using NMR data to analyze the presence of various amino acids in protein molecules. High correct classification percentages (about 87%) are achieved for images containing as many as five substantially distorted overlapping patterns.

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Text

Anand et al. "Analyzing Images Containing Multiple Sparse Patterns with Neural Networks." International Joint Conference on Artificial Intelligence, 1991. doi:10.1016/0031-3203(93)90026-S

Markdown

[Anand et al. "Analyzing Images Containing Multiple Sparse Patterns with Neural Networks." International Joint Conference on Artificial Intelligence, 1991.](https://mlanthology.org/ijcai/1991/anand1991ijcai-analyzing/) doi:10.1016/0031-3203(93)90026-S

BibTeX

@inproceedings{anand1991ijcai-analyzing,
  title     = {{Analyzing Images Containing Multiple Sparse Patterns with Neural Networks}},
  author    = {Anand, Rangachari and Mehrotra, Kishan and Mohan, Chilukuri K. and Ranka, Sanjay},
  booktitle = {International Joint Conference on Artificial Intelligence},
  year      = {1991},
  pages     = {838-843},
  doi       = {10.1016/0031-3203(93)90026-S},
  url       = {https://mlanthology.org/ijcai/1991/anand1991ijcai-analyzing/}
}