A Micro-GA Embedded PSO Feature Selection Approach to Intelligent Facial Emotion Recognition
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A Micro-GA Embedded PSO Feature Selection Approach to Intelligent Facial Emotion Recognition
Abstract—This paper proposes a facial expression recognition system using evolutionary particle swarm optimization (PSO)-based feature optimization. The system first employs modified
local binary patterns, which conduct horizontal and vertical neighborhood pixel comparison, to generate a discriminative initial facial representation. < final year projects >
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