This article presents a method aiming at quantifying the visual similarity between two images. This kind of problem is recurrent in many applications such as object recognition, i...
Abstract—This paper presents a new task assignment algorithm that integrates area search and target tracking. A new tracking metric is derived that encodes the ability of each ro...
This paper introduces an encapsulated sensor node that is devised to monitor and record motion patterns over long, quotidian periods of time with potential application in psycholo...
Kristof Van Laerhoven, Hans-Werner Gellersen, Yann...
Meta-Learning has been used to relate the performance of algorithms and the features of the problems being tackled. The knowledge in Meta-Learning is acquired from a set of meta-e...
Abstract--Sensor network ubiquitous environments may generate a lot of data including heterogeneous `raw' sensor data, low-level feature and/or trend data and higher-level con...
Brian J. d'Auriol, Le Xuan Hung, Sungyoung Lee, Yo...