The decorrelating property of the discrete wavelet transformation (DWT) appears valuable because one can avoid estimating the correlation structure in the original data space by b...
Liansheng Tang, Wayne A. Woodward, William R. Schu...
Vulnerability discovery rates need to be taken into account for evaluating security risks. Accurate projection of these rates is required to estimate the effort needed to develop ...
Model selection by the predictive least squares (PLS) principle has been thoroughly studied in the context of regression model selection and autoregressive (AR) model order estima...
Abstract. Accurate and fine-grained prediction of future user location and geographical profile has interesting and promising applications including targeted content service, adv...
Model compensation is a standard way of improving the robustness of speech recognition systems to noise. A number of popular schemes are based on vector Taylor series (vts) compen...