Traditional similarity or distance measurements usually become meaningless when the dimensions of the datasets increase, which has detrimental effects on clustering performance. I...
— How to teach actions to a robot as well as how a robot learns actions is an important issue to be discussed in designing robot learning systems. Inspired by human parentinfant ...
We investigate how to obtain a balance between privacy and audit requirements in vehicular networks. Challenging the current trend of relying on asymmetric primitives within VANET...
We present a study of radiometric calibration and the incamera imaging process through an extensive analysis of more than 10,000 images from over 30 cameras. The goal is to invest...
Hai Ting Lin, Seon Joo Kim, Sabine Susstrunk, Mich...
Transfer function design is an integrated component in volume visualization and data exploration. The common trial-and-error approach for transfer function searching is a very dif...