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Pattern recognition refers to the ability of machines to identify, learn, and classify patterns in data without explicit programming. It's a key component of computer vision, which deals with enabling computers to interpret and understand visual information from the world. In this context, pattern recognition involves developing algorithms that can analyze and extract features from images, videos, or other visual data to make sense of their content. These algorithms can be based on various machine learning techniques such as neural networks, decision trees, or support vector machines. By recognizing patterns, computers can identify objects, detect anomalies, and track movements, making pattern recognition an essential tool in applications ranging from autonomous vehicles to medical imaging. As a subcategory of computer vision, pattern recognition plays a critical role in enabling machines to perceive, interpret, and interact with the visual world.