This paper is devoted to a designer tool, which is an extension of particle tracing algorithm for analysis of scenes, artifacts, image ghosts, and ray tracing mechanism itself. Th...
This work deals with trajectory optimization for a network of robotic sensors sampling a spatio-temporal random field. We examine the problem of minimizing over the space of networ...
Active learning is a generic approach to accelerate training of classifiers in order to achieve a higher accuracy with a small number of training examples. In the past, simple ac...
Data perturbation is a popular technique for privacypreserving data mining. The major challenge of data perturbation is balancing privacy protection and data quality, which are no...
Abstract. It had been thought that it is difficult to provide receiptfreeness in mixnet-based electronic voting schemes. Any kind of user chosen randomness can be used to construct...
Byoungcheon Lee, Colin Boyd, Ed Dawson, Kwangjo Ki...