In this paper we propose a language-driven approach for the high-level design of web-based learning applications. In our approach we define a domainspecific language that character...
We present a biologically motivated architecture for object recognition that is capable of online learning of several objects based on interaction with a human teacher. The system...
We propose a novel unsupervised learning framework for activity perception. To understand activities in complicated scenes from visual data, we propose a hierarchical Bayesian mod...
We propose a novel interface called Twinkle for interacting with an arbitrary physical surface using a handheld projector and a camera. When a user flashes a projection light on ...
Takumi Yoshida, Yuki Hirobe, Hideaki Nii, Naoki Ka...
This paper presents a method for the automatic discovery of MANNER relations from text. An extended definition of MANNER is proposed, including restrictions on the sorts of concep...