Theoritical Review and Apllication of Statistical Pattern Recognition
J. Environ. Nanotechnol., Volume 6, No 1 (2017) pp. 31-33
Abstract
This paper is presented in the sense of discussion in the pattern recognition community based on the structural differences between statistical pattern recognition and its related disciplines in order to produce present the cultural identify and the core research issues, as far as encyclopedia textbooks are considered pattern recognition can be defined as a discipline to study theories and methods in designing machines that can be recognize patterns in noisy data from the engineering perspective on pattern recognition. It theory has multi-disciplinary roots, as the engineering disciplines aim to bridge the gap between real-world applications and the pure disciplines, such as mathematics, statistics ,physics and regarding the relationship between pattern recognition and artificial intelligence.Tveter has stated that artificial intelligence methods can be regarded as different ways of doing pattern recognition.
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Reference
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