In this paper we introduce a new deformable model, called eigensnake, for segmentation of elongated structures in a probabilistic framework. Instead of snake attraction by speciï¬...
We describe a learning-based method for low-level vision problems--estimating scenes from images. We generate a synthetic world of scenes and their corresponding rendered images, m...
Prior work has shown that combining results of various retrieval approaches and query representations can improve search effectiveness. Today, many meta-search engines exist which...
M. Catherine McCabe, Abdur Chowdhury, David A. Gro...
We propose a simple and practical probabilistic comparison-based model, employing multiple incomplete test concepts, for handling fault location in distributed systems using a Bay...
Yu Lo Cyrus Chang, Leslie C. Lander, Horng-Shing L...
For a mobile robot to move in a known environment and operate successfully, first it needs to robustly determine its initial position and orientation relative to the map, and then ...
Ali R. Vahdat, Naser NourAshrafoddin, Saeed Shiry ...