Use HMM and KNN for classifying corneal data

These days to gain classification system with high accuracy that can classify complicated pattern are so useful in medicine and industry. In this article a process for getting the best classifier for Lasik data is suggested. However at first it's been tried to find the best line and curve by th...

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Main Authors Rezaeiye, Payam Porkar, bazrafkan, mehrnoosh, movassagh, ali akbar, Fazli, Mojtaba Sedigh, bazyari, Gholam hossein
Format Journal Article
LanguageEnglish
Published 29.01.2014
Subjects
Computer Science - Computer Vision and Pattern Recognition
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Abstract These days to gain classification system with high accuracy that can classify complicated pattern are so useful in medicine and industry. In this article a process for getting the best classifier for Lasik data is suggested. However at first it's been tried to find the best line and curve by this classifier in order to gain classifier fitting, and in the end by using the Markov method a classifier for topographies is gained.
AbstractList These days to gain classification system with high accuracy that can classify complicated pattern are so useful in medicine and industry. In this article a process for getting the best classifier for Lasik data is suggested. However at first it's been tried to find the best line and curve by this classifier in order to gain classifier fitting, and in the end by using the Markov method a classifier for topographies is gained.
Author Fazli, Mojtaba Sedigh
Rezaeiye, Payam Porkar
movassagh, ali akbar
bazyari, Gholam hossein
bazrafkan, mehrnoosh
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BackLink https://doi.org/10.48550/arXiv.1401.7486$$DView paper in arXiv
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Snippet These days to gain classification system with high accuracy that can classify complicated pattern are so useful in medicine and industry. In this article a...
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Title Use HMM and KNN for classifying corneal data
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