Abstract--In robotic applications of visual simultaneous localization and mapping techniques, loop-closure detection and global localization are two issues that require the capacit...
A framework is proposed for the segmentation of brain tumors from MRI. Instead of training on pathology, the proposed method trains exclusively on healthy tissue. The algorithm att...
Markov logic networks (MLNs) combine first-order logic and Markov networks, allowing us to handle the complexity and uncertainty of real-world problems in a single consistent fram...
The paper introduces a new framework for feature learning in classification motivated by information theory. We first systematically study the information structure and present a n...
We present a probabilistic ranking-driven classifier for the detection of video semantic concept, such as airplane, building, etc. Most existing concept detection systems utilize ...