Conditional Random Fields for Pattern Recognition Applied to Structured Data
Pattern recognition uses measurements from an input domain, X, to predict their labels from an output domain, Y. Image analysis is one setting where one might want to infer whether a pixel patch contains an object that is “manmade” (such as a building) or “natural” (such as a tree). Suppose the labe...
Main Authors: | Tom Burr, Alexei Skurikhin |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2015-07-01
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Series: | Algorithms |
Subjects: | |
Online Access: | http://www.mdpi.com/1999-4893/8/3/466 |
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