The Gaussian mixture model (GMM) can approximate arbitrary probability distributions, which makes it a powerful tool for feature representation and classification. However, it su...
2. Obtain the gray-levelgradient magnitude. 3. Derive the threshold surface by deforming the original image gray-level surface. 4. The thresholdsurface interpolation. 5. Segmentati...
C. C. Leung, Francis H. Y. Chan, Paul C. K. Kwok, ...
Iterative Closest Point (ICP) -based tracking works well when the interframe motion is within the ICP minimum well space. For large interframe motions resulting from a limited sen...
Limin Shang, Piotr Jasiobedzki, Michael A. Greensp...
Abstract— Continuous action sets are used in many reinforcement learning (RL) applications in robot control since the control input is continuous. However, discrete action sets a...
Akihiko Yamaguchi, Jun Takamatsu, Tsukasa Ogasawar...
In this paper, we present a method for analyzing the leakage current, and hence the leakage power, of a circuit under process parameter variations that can include spatial correla...