Pattern Recognition is a mature but exciting and fast developing field, which underpins developments in cognate fields such as computer vision, image Guide for authors - Recent Articles - View Editorial Board - Special Issues. Pattern recognition is the automated recognition of patterns and regularities in data. Pattern recognition is closely related to artificial intelligence and machine learning, together with applications such as data mining and knowledge discovery in databases (KDD), and is often used interchangeably with these terms. Overview - Problem statement - Uses - Algorithms. Read the latest articles of Pattern Recognition at raymondsaumure.com, Elsevier's leading platform of peer-reviewed scholarly literature.
In IT, pattern recognition is a branch of machine learning that emphasizes the recognition of data patterns or data regularities in a given scenario. Pattern recognition is the ability to detect arrangements of characteristics or data that yield information about a given system or data set. Example: The colours on the clothes, speech pattern etc. In computer science, a pattern is represented using vector features values. What is Pattern Recognition.
Learn about pattern recognition techniques for object detection and classification in MATLAB. Resources include video, examples, source code, and technical. Pattern recognition has its origins in engineering, whereas machine learning grew cerpts from an earlier textbook, Neural Networks for Pattern Recognition. 9 Nov - 47 min - Uploaded by UniHeidelberg This lecture by Prof. Fred Hamprecht covers introduction to pattern recognition and probability. 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.