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- W2384893420 abstract "The paper proposes a multi-feature and multi-classifier fusion algorithm for image recognition called Support Vector Machine(SVM) information fusion.First,the paper applies three different algorithms to the feature extraction:PCA,SVM,LDA.The outputs of facial expression classifier based on three expression representations are input to SVM information fusion to get facial expression recognition.For hardware realization is few,this paper uses the DAVINCI DSP serial productions of TI company to realize the SVM information fusion algorithm scheme based on parallel structure.It discusses the process of algorithm realization by DSP.The actual results prove that SVM information fusion algorithm for expression recognition is effective and can be realized by DSPs." @default.
- W2384893420 created "2016-06-24" @default.
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- W2384893420 date "2009-01-01" @default.
- W2384893420 modified "2023-09-24" @default.
- W2384893420 title "Image recognition based on SVM information fusion and DSP parallel realization" @default.
- W2384893420 hasPublicationYear "2009" @default.
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