Compiling Bayesian networks has proven an effective approach for inference that can utilize both global and local network structure. In this paper, we define a new method of comp...
In this paper, we propose a level set based energy functional, the minimization of which results in simultaneous background modeling, foreground segmentation, and contour smoothin...
Suk Ho Lee, Nam-seok Choi, Byung-Gook Lee, Moon Gi...
We present minimization methodologies and an algorithm for simultaneous scheduling, binding, and allocation for the reduction of total power and power fluctuation during behaviora...
Sound source localization is an important function in robot audition. The existing works perform sound source localization using static microphone arrays. This work proposes a fram...
The iterative closest points (ICP) algorithm is widely used for ego-motion estimation in robotics, but subject to bias in the presence of outliers. We propose a random sample conse...