Blind image deconvolution is an ill-posed problem that requires regularization to solve. However, many common forms of image prior used in this setting have a major drawback in th...
We propose Cross-Channel Spectral Subtraction (CCSS), a source separation method for recognizing meeting speech where one microphone is prepared for each speaker. The method quick...
In this paper an unsupervised compensation method based on Gestalt, ISVC, is proposed to address the problem of limited enrolling data and noise robustness in text-dependent speak...
Robust lossless data hiding (LDH) methods have attracted more and more attentions for copyright protection of multimedia in lossy environment. One of the important requirements of...
This paper deals with the adaptive variance scaling issue in continuous Estimation of Distribution Algorithms. A phenomenon is discovered that current adaptive variance scaling me...