Exploratory data analysis is a process of sifting through data in search of interesting information or patterns. Analysts’ current tools for exploring data include database mana...
In this paper we incorporate autonomous agents' capability to perform parallel interactions into the cooperative search model, resulting in a new method which outperforms the...
During the development of car engines, regression models that are based on machine learning techniques are increasingly important for tasks which require a prediction of results i...
In this paper, we discuss scripting tools that aim at facilitating the design of web-based interactions with animated characters capable of affective communication. Specifically, ...
Helmut Prendinger, Sylvain Descamps, Mitsuru Ishiz...
Despite the notable progress in physically-based rendering, there is still a long way to go before we can automatically generate predictable images of biological materials. In thi...