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The functional Magnetic Resonance Imaging (fMRI) has emerged as a powerful noninvasive method for collecting large amount of data about activities in human brain. Analysis for fMRI is essential to the success in detecting cognitive states. Due to very high dimensionality of feature vectors, feature extraction should be considered as a critical step to preprocess fMRI data before the stage of cognitive...
In this paper, we propose data hiding, extraction and handwritten signature authentication algorithms for binary images. Handwritten signature Image can be transmitted from source to target securely over network after processing the source image by using this proposed data hiding algorithm. According to the algorithm, size of the carrier image must be double (or more) the size of source image. If...
Kernel canonical correlation analysis (kCCA) with combining correlation kernels of multiple-orders and Kansei information is applied to facial expression recognition. Any explicit feature extraction is done and spatial correlation features of image data are implicitly incorporated in the correlation kernels. Further, Kansei information is included as the second feature in kCCA. Classification experiments...
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