What is pattern recognition science?
pattern recognition, in computer science, the imposition of identity on input data, such as speech, images, or a stream of text, by the recognition and delineation of patterns it contains and their relationships.
Is pattern recognition important for machine learning?
Pattern recognition is the technology that enables the learning process. Therefore it is an integral part of the entire technique of machine learning. It empowers the algorithms to discover regularities within vast amounts of data and helps to classify it into various categories.
Which is an example of a pattern recognition field?
Pattern Recognition is a mature but exciting and fast developing field, which underpins developments in cognate fields such as computer vision, image processing, text and document analysis and neural networks. It is closely akin to machine learning, and also finds applications in fast em…
How is pattern recognition used in machine learning?
For advanced materials characterization, a novel and extremely effective approach of pattern recognition in optical microscopic images of steels is demonstrated. It is based on fast Random Forest statistical algorithm of machine learning for reliable and automated segmentation of typical steel microstructures.
Who is the author of statistical pattern recognition?
A.K. Jain is with the Department of Computer Science and Engineering, Michigan State University, East Lansing, MI 48824. . R.P.W. Duin is with the Department of Applied Physics, Delft University of Technology, 2600 GA Delft, the Netherlands. E-mail: [email protected]. . J. Mao is with the IBM Almaden Research Center, 650 Harry Road, San
Is the problem of Pattern Recognition still unsolved?
In spite of almost 50 years of research and development in this field, the general problem of recognizing complex patterns with arbitrary orientation, location, and scale remains unsolved.