The POIROT project is a four-year effort to develop an architecture that integrates the products of a number of targeted reasoning and learning components to produce executable re...
Mark H. Burstein, Fusun Yaman, Robert Laddaga, Rob...
We present an approach to inductive concept learning using multiple models for time series. Our objective is to improve the efficiency and accuracy of concept learning by decomposi...
The paper introduces a peer-to-peer system called P2PRIV (peer-to-peer direct and anonymous distribution overlay). Basic novel features of P2PRIV are: (i) a peer-to-peer parallel ...
We present a novel approach for real-time path planning of multiple virtual agents in complex dynamic scenes. We introduce a new data structure, Multi-agent Navigation Graph (MaNG...
Avneesh Sud, Erik Andersen, Sean Curtis, Ming C. L...
This paper presents a new approach for tracking objects in complex situations such as people in a crowd or players on a soccer field. Each object in the image is represented by s...
Pierre Fatrus Gabriel, Jean-Bernard Hayet, Justus ...