Shin-Sheng Huang

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This paper presents a novel and effective method for facial expression recognition including happiness, disgust, fear, anger, sadness, surprise, and neutral state. The proposed method utilizes a regularized discriminant analysis-based boosting algorithm (RDAB) with effective Gabor features to recognize the facial expressions. Entropy criterion is applied to(More)
This paper presents a novel method for facial expression recognition including happy, disgust, fear, anger, sad, surprise and neutral. The proposed method utilizes a regularized discriminant analysis-based AdaBoost algorithm (RDA-AB) with local Gabor features to recognize the facial expressions. The RDA-AB uses RDA as a learner in the boosting algorithm.(More)
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