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ICRA
2010
IEEE
137views Robotics» more  ICRA 2010»
14 years 8 months ago
Robot reinforcement learning using EEG-based reward signals
Abstract— Reinforcement learning algorithms have been successfully applied in robotics to learn how to solve tasks based on reward signals obtained during task execution. These r...
Iñaki Iturrate, Luis Montesano, Javier Ming...
PAMI
2006
192views more  PAMI 2006»
14 years 9 months ago
Building Models of Animals from Video
This paper argues that tracking, object detection, and model-building are all similar activities. We describe a fully automatic system that builds 2D articulated models known as pi...
Deva Ramanan, David A. Forsyth, Kobus Barnard
IJCAI
2007
14 years 11 months ago
Common Sense Based Joint Training of Human Activity Recognizers
Given sensors to detect object use, commonsense priors of object usage in activities can reduce the need for labeled data in learning activity models. It is often useful, however,...
Shiaokai Wang, William Pentney, Ana-Maria Popescu,...
MOBISYS
2007
ACM
15 years 9 months ago
Algorithm to automatically detect abnormally long periods of inactivity in a home
An algorithm has been developed to automatically construct individual models of normal activity within a home using motion sensor data. Alerts can be generated when a period of in...
Paul Cuddihy, Jenny Weisenberg, Catherine Graichen...
CORR
2010
Springer
151views Education» more  CORR 2010»
14 years 10 months ago
Behavioural Correlation for Detecting P2P Bots
In the past few years, IRC bots, malicious programs which are remotely controlled by the attacker through IRC servers, have become a major threat to the Internet and users. These ...
Yousof Al-Hammadi, Uwe Aickelin