Statistical data frequently includes outliers; these can distort the results of estimation procedures and optimization problems. For this reason, loss functions which deemphasize ...
—It is well known that Online Social Networks (OSNs) are vulnerable to privacy leakages, whereby specific information about a user (political affiliation, sexual orientation, g...
Ratan Dey, Cong Tang, Keith W. Ross, Nitesh Saxena
Despite its state-of-the-art performance, the Data Oriented Parsing (DOP) model has been shown to suffer from biased parameter estimation, and the good performance seems more the ...
Quantization-based watermarking schemes are vulnerable to amplitude scaling. Therefore the scaling factor has to be accounted for either at the encoder, or at the decoder, prior t...
Ivo D. Shterev, Reginald L. Lagendijk, Richard Heu...