We revisit the topics of near-field adaptive beamforming and source localization following an alternative approach based on a spatiotemporal spectral representation of the acoust...
Design and analysis of cooperative communication schemes based upon modeling and simulation exist in large quantities in the research literature. Despite this fact, there have bee...
Data sparseness is an ever dominating problem in automatic emotion recognition. Using artificially generated speech for training or adapting models could potentially ease this: t...
Almost all company websites collect some information about the user in some form. The information may be a simple IP address of the host to extensive personal information about th...
Rajeev Agrawal, William I. Grosky, Farshad Fotouhi
In Bayesian machine learning, conjugate priors are popular, mostly due to mathematical convenience. In this paper, we show that there are deeper reasons for choosing a conjugate pr...