Label printer applicator

Known as: Label printer applicators, Labeler, Print and apply 
Label printer applicators are basic robots that automatically print and apply pressure-sensitive labels to various products. Some types of labeling… (More)
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Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Review
2016
Review
2016
We present and evaluate a large-scale malware detection system integrating machine learning with expert reviewers, treating… (More)
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Highly Cited
2011
Highly Cited
2011
Obtaining labels can be expensive or timeconsuming, but unlabeled data is often abundant and easier to obtain. Most learning… (More)
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Highly Cited
2011
Highly Cited
2011
The challenges of Named Entities Recognition (NER) for tweets lie in the insufficient information in a tweet and the… (More)
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Highly Cited
2010
Highly Cited
2010
Image annotation datasets are becoming larger and larger, with tens of millions of images and tens of thousands of possible… (More)
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Highly Cited
2009
Highly Cited
2009
Modern machine learning-based approaches to computer vision require very large databases of hand labeled images. Some… (More)
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Highly Cited
2008
Highly Cited
2008
Human linguistic annotation is crucial for many natural language processing tasks but can be expensive and time-consuming. We… (More)
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Highly Cited
2006
Highly Cited
2006
With the availability of large corpora of spoken dialog, it is now possible to use data-driven techniques to build and use models… (More)
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Highly Cited
2004
Highly Cited
2004
In this paper we present methods of enhancing existing discriminative classifiers for multi-labeled predictions. Discriminative… (More)
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Highly Cited
2001
Highly Cited
2001
This paper presents an active learning method that directly optimizes expected future error. This is in contrast to many other… (More)
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Highly Cited
1992
Highly Cited
1992
This paper reports on a study of the relationship between acoustic-prosodic variation and discourse structure, as determined from… (More)
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