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Delves into human senses, perception, sensor stimulation, VR immersion, and vision mechanisms.
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Provides an overview of classical vision theories, exploring how perception is shaped by psychological and environmental factors.
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Covers feature maps, Representer theorem, kernels, and RKHS in machine learning.
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Delves into quantifying statistical dependence through covariance, correlation, and mutual information.
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