We propose a method for estimating demosaicing algorithms from image noise variance. We show that the noise variance in interpolated pixels becomes smaller than that of directly o...
Jun Takamatsu, Yasuyuki Matsushita, Tsukasa Ogasaw...
Abstract— Least-squares policy iteration is a useful reinforcement learning method in robotics due to its computational efficiency. However, it tends to be sensitive to outliers...
Bulk transport underlies data exfiltration and code update facilities in WSNs, but existing approaches are not designed for highly lossy and variable-quality links. We observe tha...
Despite of their applicability betweennness constraints have (to the author’s knowledge) hardly been considered from the random structures point of view. They are essentially di...
Abstract. We present an efficient implementation of the ultimate attribute opening operator. In this implementation, the ultimate opening is computed by processing the image maxtre...