Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Spectral analysis is a recently proposed method for feature extraction. Studies show that the features extracted by spectral analysis can also be used to classification. ,  propose a nonlinear feature extraction method called discriminant spectral analysis (DSA) algorithm for facial expression recognition. DSA takes both intra-locality and inter-locality structure of the data into account, and the features extracted by DSA have more discriminant por than traditional methods. Moreover, DSA is a nonlinear method which can effectively discover the intrinsic nonlinear manifold structure hidden in the data. Experimental results on Cohn-Kanade and JAFFE facial databases show the effectiveness of DSA algorithm.
['Ruicong Zhi', 'Qiuqi Ruan']
I am writing a research paper on a idea Discriminant spectral analysis for facial expression recognition
[{"from": "human", "value": "I am writing a research paper on a idea Discriminant spectral analysis for facial expression recognition"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Spectral analysis is a recently proposed method for feature extraction. Studies show that the features extracted by spectral analysis can also be used to classification. ,  propose a nonlinear feature extraction method called discriminant spectral analysis (DSA) algorithm for facial expression recognition. DSA takes both intra-locality and inter-locality structure of the data into account, and the features extracted by DSA have more discriminant por than traditional methods. Moreover, DSA is a nonlinear method which can effectively discover the intrinsic nonlinear manifold structure hidden in the data. Experimental results on Cohn-Kanade and JAFFE facial databases show the effectiveness of DSA algorithm."}]