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Table 1 The base line recognition results Condition SER Clean/Clean 12.94 Noisy/Noisy 16.79 Clean/Noisy 31.72.
Another limitation is that most existing HT-based line recognition methods are not able to detect line thickness, which is essential to large-size images, usually engineering drawings.
This paper therefore proposes a new HT-based line recognition method, which utilizes both the HT parameter space and the image space.
Genes/proteins were extracted using GNAT (42), anatomical part and cell line recognition was performed by Linnaeus (43) using 13 anatomical ontologies and one for cell lines.
Thus, future work will include training a machine learning system for cell line recognition, including annotation of additional gold-standard documents.
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Due to a delay in tallying up scores, I was not able to give AK74 the above-the-line recognition that they had earned for being the only person to predict every game correctly in week nine.
It concerns the on-line recognition step.
For off-line recognition, we propose rate-invariant classification of full video and early recognition.
In this paper, we propose a spatio-temporal modeling of human-object interaction videos for online and off-line recognition.
In this paper, a word-based off-line recognition system is proposed, using Hidden Markov Models (HMMs).
However, their method requires well-dispersed particle samples, making it unsuitable for in-line recognition of agglomerates.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com