2017
DOI: 10.1117/12.2280975
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Parallel-hierarchical processing and classification of laser beam profile images based on the GPU-oriented architecture

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Cited by 2 publications
(2 citation statements)
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“…It is possible to both improve the data which is used for training as well as the machine learning models themselves. We suggest the following possible improvements: a) include metadata to the training process; b) get more data and use it for training; c) investigate misclassified examples; d) try other machine learning approaches [10,11]. Together with the text summarization (the problem that also can be solved by means of artificial intelligence), the approach, described in the paper, might be used for classification of news articles as fake or true.…”
Section: Resultsmentioning
confidence: 99%
“…It is possible to both improve the data which is used for training as well as the machine learning models themselves. We suggest the following possible improvements: a) include metadata to the training process; b) get more data and use it for training; c) investigate misclassified examples; d) try other machine learning approaches [10,11]. Together with the text summarization (the problem that also can be solved by means of artificial intelligence), the approach, described in the paper, might be used for classification of news articles as fake or true.…”
Section: Resultsmentioning
confidence: 99%
“…This technology is quite effective when building optimal transport and telecommunications networks, as well as in real-time image recognition. The use of lasers in data transmission has become relevant, requiring quick and accurate recognition of laser images 1,2 . Accurate recognition of vehicle license plates on images from road cameras is necessary to quickly identify offenders, or, for example, to timely recognize a terrorist among passengers at airports or other transportation stations 3,4,5 .…”
Section: Introductionmentioning
confidence: 99%