This paper compares two methods for object localization from contours: shape context and chamfer matching of templates. In the light of our experiments, we suggest improvements to...
Arasanathan Thayananthan, Bjoern Stenger, Philip H...
This paper addresses the problem of learning object models from egocentric video of household activities, using extremely weak supervision. For each activity sequence, we know onl...
Abstract. Increasingly threading has become an important architectural component of programming languages to support parallel programming. Previously we have proposed an elegant la...
This paper is about decision making based on real-world descriptions of a domain. There are many domains where differentpeoplehavedescribedvariouspartsoftheworldatdifferent f abst...
In this paper, we introduce a system that aims at recognizing chart images using a model-based approach. First of all, basic chart models are designed for four different chart typ...