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Online consumer reviews have shown as an important source of information that affects individuals' purchase decision making. To understand the influence of massive online reviews in online communities, this study extends prior research on information adoption by incorporating the perspective of herd behavior. We develop and empirically test a research model using data collected in an existing book...
A novel trimmed relevance vector regression method named TRVR is proposed to provide robust solution for regression. Firstly the likelihood function is redefined as the trimmed likelihood function over a trimmed subset. Then by maximizing the trimmed likelihood function within the relevance vector machine (RVM) framework, the model weights can be learnt. Simultaneously a re-weighted update strategy...
A novel digital watermarking embedding and detecting algorithm for image is presented, which uses the chirp signal as a watermark and embeds in the fractional Fourier transform (FRFT) domain of the image, and the watermark position and the transform order are used as the encryption keys. With the help of the property of the impulse characteristic in the FRFT domain for chirp signal, the watermark...
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