ChemInk: A Natural Real-Time Recognition System for Chemical Drawings
We describe a new sketch recognition framework for chemical structure drawings that combines multiple levels of visual features using a jointly trained conditional random field. This joint model of appearance at different levels of detail makes our framework less sensitive to noise and drawing varia...
Main Authors: | Ouyang, Tom Y. (Contributor), Davis, Randall (Contributor) |
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Other Authors: | Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science (Contributor) |
Format: | Article |
Language: | English |
Published: |
Association for Computing Machinery (ACM),
2013-05-15T15:53:33Z.
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Subjects: | |
Online Access: | Get fulltext |
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