This paper addresses planning of continuous paths for mobile sensors to reduce uncertainty in some quantities of interest in the future. The mutual information between the measure...
The accuracy and scalability of multiple sequence alignment (MSA) of DNAs and proteins have long been and are still important issues in bioinformatics. To rapidly construct a reas...
We evaluate two broad classes of cognitive mechanisms that might support the learning of sequential patterns. According to the first, learning is based on the gradual accumulation...
Many volume data possess symmetric features that can be clearly observed, for example, those existing in diffusion tensor image data sets. The exploitations of symmetries for volu...
This paper presents a novel method that effectively combines both control variates and importance sampling in a sequential Monte Carlo context. The radiance estimates computed dur...