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Bookmark or Share- Pattern recognition - WikipediaPattern 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 pattern.
- Pattern Recognition | Journal | ScienceDirect.com by ElsevierPattern 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 emerging areas such as biometrics, bioinformatics ...
- What is Pattern Recognition? A Gentle Introduction (2024)Pattern recognition is the ability of machines to identify patterns in data, and then use those patterns to make decisions or predictions using computer algorithms. It’s a vital component of modern artificial intelligence (AI) systems.
- Pattern Recognition in Machine Learning [2024 Guide] - Analytics VidhyaTo summarize, pattern recognition in machine learning is a subfield of artificial intelligence that uses several algorithmic techniques to detect and characterize reoccurring patterns in data. This approach may be used in many different contexts, like computer vision, bioinformatics, and image/speech recognition.
- Pattern Recognition | Introduction - GeeksforGeeksWhat is Pattern Recognition? Pattern recognition is the process of recognizing patterns by using a machine learning algorithm. Pattern recognition can be defined as the classification of data based on knowledge already gained or on statistical information extracted from patterns and/or their representation.
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