cellular automata for face recognition systems
Cellular automata for face recognition systems refer to algorithms that use a grid-based model to analyze images and identify human faces. The technique involves dividing the image into cells and dynamically updating their states based on neighboring cells, ultimately leading to the detection and recognition of faces within the image.
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