We propose a reliability measure that identifies informative image cues useful for registration, and present a novel, data-driven approach to spatially adapt regularization to the...
Nearest neighbor classifier is a widely-used effective method for multi-class problems. However, it suffers from the problem of the curse of dimensionality in high dimensional spac...
Guo-Jun Zhang, Ji-Xiang Du, De-Shuang Huang, Tat-M...
By definition, a heavyweight network service requires a significant amount of computation to complete its task. Providing a heavyweight service is challenging for a number of reaso...
Abstract: In this paper, we describe a prototype of an adaptive indoor navigation system which is based on mobile devices and navigates visually impaired people through an unknown ...
In this paper, we propose a symmetrical EEG/fMRI fusion algorithm which combines EEG and fMRI by means of a common generative model. The use of a total variation (TV) prior as wel...
Martin Luessi, S. Derin Babacan, Rafael Molina, Ja...