cellular automata-based feature extraction for pattern recognition
Cellular automata-based feature extraction for pattern recognition refers to a method that uses mathematical models known as cellular automata to identify and extract important features or characteristics from patterns or data, which can then be used to recognize or categorize different patterns or objects.
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