Abstract— This paper presents a technique for the Simultaneous Calibration of Action and Sensor Models (SCASM) on a mobile robot. While previous approaches to calibration make us...
This paper describes a context information acquisition framework for a personal device that equips a variety of sensors. The framework captures context information about a user an...
Abstract. Vision is a crucial sensor. It provides a very rich collection of information about our environment. However, not everything in a visual scene is relevant for the task at...
Abstract. We present a hybrid machine learning approach for information extraction from unstructured documents by integrating a learned classifier based on the Maximum Entropy Mod...
Abstract— Large scale distributed computing infrastructure captures the use of high number of nodes, poor communication performance and continously varying resources that are not...