Machine Learning in Computer Vision
(چکیده مقاله) :
Abstract :
During last few years the computer applications have gone dramatic transformation from simple data processing
to machine learning, thanks to the availability and accessibility of huge volume of data collected through sensors
and internet. The idea of machine learning demonstrates and propagates the facts that computer has the ability to
improve itself with the passage of time. The western countries have shown great interest on the topic of machine
learning, computer vision, and pattern recognition via organizing conferences, workshops, collective discussion,
experimentation, and real life implementation. This study on machine learning and computer vision explores and
analytically evaluates the machine learning applications in computer vision and predicts future prospects. The study
has found that the machine learning strategies in computer vision are supervised, un-supervised, and semisupervised.
The commonly used algorithms are neural networks, k-means clustering, and support vector machine.
The most recent applications of machine learning in computer vision are object detection, object classification, and
extraction of relevant information from images, graphic documents, and videos. Additionally, Tensor flow, Faster-
RCNN-Inception-V2 model, and Anaconda software development environment used to identify cars and persons in
images.
to machine learning, thanks to the availability and accessibility of huge volume of data collected through sensors
and internet. The idea of machine learning demonstrates and propagates the facts that computer has the ability to
improve itself with the passage of time. The western countries have shown great interest on the topic of machine
learning, computer vision, and pattern recognition via organizing conferences, workshops, collective discussion,
experimentation, and real life implementation. This study on machine learning and computer vision explores and
analytically evaluates the machine learning applications in computer vision and predicts future prospects. The study
has found that the machine learning strategies in computer vision are supervised, un-supervised, and semisupervised.
The commonly used algorithms are neural networks, k-means clustering, and support vector machine.
The most recent applications of machine learning in computer vision are object detection, object classification, and
extraction of relevant information from images, graphic documents, and videos. Additionally, Tensor flow, Faster-
RCNN-Inception-V2 model, and Anaconda software development environment used to identify cars and persons in
images.
(توضیحات تکمیلی) :
(توضیحات تکمیلی) :
Description :
مقاله ISI انگلیسی اصلی
سال انتشار: 2020
فایل ISI انگلیسی اصلی ، با فرمت Pdf
تعداد صفحات فایل ISI انگلیسی اصلی: 8 صفحه
سال انتشار: 2020
فایل ISI انگلیسی اصلی ، با فرمت Pdf
تعداد صفحات فایل ISI انگلیسی اصلی: 8 صفحه
Authors / Descriptions(نویسندگان/توضیحات): سال انتشار 2020 \ مقاله ISI انگلیسی اصلی \ نویسندگان: Asharul Islam Khan a*, Salim Al-Habsib
Sent date(تاریخ ارسال) :
1399/06/14 | 9/4/2020
Number of visits(تعداد بازدید):
573
Key words (کلمات کلیدی):
machine learning; image processing; object detection; computer vision; artificial intelligence; image classification; neural network; support vector machine
Number of pages(تعداد صفحات) :
8
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