Construction method for visual recognition algorithms using brain activity data
نویسندگان
چکیده
For the brain’s outstanding visual recognition performance, a brain’s clever choice of visual features with which the brain comprehend the world is supposedly essential. We propose a method to deduce such visual features from the multi-dimensional brain activity data and to use them to construct a high-performance visual recognition algorithm. Keywords—Visual Recognition Algorithm, Brain Activity Data, Kernel Canonical Correlation Analysis, Visual
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