Abstract. We propose a semi-supervised, kinetic modeling based segmentation technique for molecular imaging applications. It is an iterative, self-learning algorithm based on uncer...
Ahmed Saad, Benjamin Smith 0002, Ghassan Hamarneh,...
We introduce a distributed adaptive estimation algorithm operating in an ideal fully connected sensor network. The algorithm estimates node-specific signals at each node based on...
The paper presents a novel technique for the exploration of an information space where elements are associated with a taxonomy and where each element has an associated attribute v...
We propose an algorithm to detect depths in a light field. Specifically, given a 4D light field, we find all planes at which objects are located. Although the exact depth of each ...
Yi-Hao Kao, Chia-Kai Liang, Li-Wen Chang, Homer H....
: This paper presents an evolutionary algorithm applicable to the task of device adjustment in smart appliances ensembles. The algorithm requires very little environmental knowledg...