Abstract— Learning inverse kinematics has long been fascinating the robot learning community. While humans acquire this transformation to complicated tool spaces with ease, it is...
A common approach in machine learning is to use a large amount of labeled data to train a model. Usually this model can then only be used to classify data in the same feature spac...
—In this paper we present a scalable and distributed system for image retrieval based on visual features and annotated text. This system is the core of the SAPIR project. Its arc...
A referral system is a multiagent system whose member agents are capable of giving and following referrals. The specific cases of interest arise where each agent has a user. The ...
Urban designers and urban planners often conduct site visits prior to a design activity to search for patterns or better understand existing conditions. We introduce SiteLens, an ...