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"It's important to understand that machine recognition will never be perfect," Mr. Reddy added.
L. Earnest, Machine recognition of cursive writing, IFIP Congress 1962 (Munich), Information Processing 62, North Holland, Amsterdam, 1963.
Dr. Sirovich introduced the technique for use in machine recognition of human faces, and it is now the basis for most face recognition systems.
Nilo Lindgren wrote an article about this work in Machine Recognition of Human Language, Part III – Cursive Script Recognition, IEEE Spectrum, May 1965.
To improve machine recognition and speech recognition, researchers have exploited the ability to compile vast libraries of examples to train programs known as neural networks, which can do sophisticated pattern recognition.
Sponsored by the National Institute of Standards and Technology NISTthe the match up of face-recognition algorithms showed that machine recognition of human individuals has improved tenfold since 2002 and a hundredfold since 1995.
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It is based on the machine intention recognition of the human.
("Every page, every picture, every commercial is merely a TV channel activated by the picture itself through machine vision recognition," he said then).
Fernandez, M., Boyd, P. G., Daff, T. D., Aghaji, M. Z. & Woo, T. K. Rapid and accurate machine learning recognition of high performing metal organic frameworks for co2 capture.
Machine-learning techniques have proven successful and been used in the areas of autonomous machines, speech recognition, and natural language processing.
In particular, it concerns driver identification, human-machine interface, recognition of road conditions, and controllers of vehicle chassis and powertrain systems.
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