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  1. Pattern recognition - Wikipedia

    • Pattern recognition is the task of assigning a class to an observation based on patterns extracted from data. While similar, pattern recognition (PR) is not to be confused with pattern machines (PM) which may possess (PR) capabilities but their primary function is to distinguish and create emergent patterns. PR has applications in statistical data analysis, signal pro… See more

    Overview

    A modern definition of pattern recognition is:
    The field of pattern recognition is concerned with the automatic … See more

    Problem statement

    The problem of pattern recognition can be stated as follows: Given an unknown function (the ground truth) that maps input instances to output labels , along with training data assumed to represent accurate examples o… See more

    Uses

    Within medical science, pattern recognition is the basis for computer-aided diagnosis (CAD) systems. CAD describes a procedure that supports the doctor's interpretations and findings. Other typical application… See more

     
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  1. Imposition of identity on input data

    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. Stages in pattern recognition may involve measurement of the object to identify
    www.britannica.com/technology/pattern-recognition-computer-science
    www.britannica.com/technology/pattern-recognition-computer-science
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    Apr 1, 2024 · Pattern recognition is the process of discovering similarities within small problems to solve larger, more complicated problems. Learn about its types, applications, and careers, and how to get started with pattern …

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    Learn what pattern recognition is, how it works, and what applications it has in various domains. DeepAI explains the key steps, techniques, and challenges of pattern recognition, as …

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    May 17, 2023 · Pattern recognition is a data analysis process that uses machine learning algorithms to classify input data into objects, classes, or categories based on recognized patterns, …

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