Document Type
Article
Date
1991
Keywords
Clustering, Nuclear Magnetic Resonance, Neural networks, Overlapping patterns, Sparse image analysis
Language
English
Disciplines
Computer Sciences
Description/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.
Recommended Citation
Anand, Rangachari; Mehrotra, Kishan; Mohan, Chilukuri K.; and Ranka, Sanjay, "Analyzing Images Containing Multiple Sparse Patterns with Neural Networks" (1991). College of Engineering and Computer Science - Former Departments, Centers, Institutes and Projects. 42.
https://surface.syr.edu/lcsmith_other/42
Creative Commons License
This work is licensed under a Creative Commons Attribution 3.0 License.
