Analyzing Images Containing Multiple Sparse Patterns with Neural Networks
Proceedings of the Twelfth International Joint Conference on Artificial Intelligence. Learning Be Knowledge Acquisition. Pages 838-842.
Abstract
We have addressed the problem of analyzing images containing multiple sparse overlapped patterns. This problem arises naturally when analyzing the composition of organic macromolecules using data gathered from their NMR spectra . Using a neural network approach, we have obtained excellent results in using NMR data to analyze the presence of various amino acids in protein molecules. We have achieved high correct classification percentages (about 87%) for images containing as many as five substantially distorted overlapping patterns.
@inproceedings{ijcai1991p123,
title = {Analyzing Images Containing Multiple Sparse Patterns with Neural Networks},
author = {Anand, Rangachari and Mehrotra, Kishan and Mohan, Chilukuri K. and Ranka, Sanjay},
booktitle = {Proceedings of the Twelfth International Joint Conference on
Artificial Intelligence, {IJCAI-91}},
publisher = {International Joint Conferences on Artificial Intelligence},
editor = {John Mylopoulos and Ray Reiter},
pages = {838--842},
year = {1991},
month = {8},
note = {Learning Be Knowledge Acquisition},
url = {https://ijcai.org/proceedings/1991/123},
}
TY - CPAPER TI - Analyzing Images Containing Multiple Sparse Patterns with Neural Networks AU - Anand, Rangachari AU - Mehrotra, Kishan AU - Mohan, Chilukuri K. AU - Ranka, Sanjay T2 - Proceedings of the Twelfth International Joint Conference on Artificial Intelligence, IJCAI-91 PB - International Joint Conferences on Artificial Intelligence PY - 1991 SP - 838 EP - 842 UR - https://ijcai.org/proceedings/1991/123 ER -Copied
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