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AGENTS
1997
Springer
14 years 2 months ago
Neo: Learning Conceptual Knowledge by Sensorimotor Interaction with an Environment
Recent developments in philosophy, linguistics, developmental psychology and arti cial intelligence make it possible to envision a developmental path for an arti cial agent, groun...
Paul R. Cohen, Marc S. Atkin, Tim Oates, Carole R....
IJSNET
2006
145views more  IJSNET 2006»
13 years 10 months ago
RL-MAC: a reinforcement learning based MAC protocol for wireless sensor networks
:This paper introduces RL-MAC, a novel adaptive MediaAccess Control (MAC) protocol for Wireless Sensor Networks (WSN) that employs a reinforcement learning framework. Existing sche...
Zhenzhen Liu, Itamar Elhanany
ICCV
2011
IEEE
12 years 10 months ago
Understanding Egocentric Activities
We present a method to analyze daily activities, such as meal preparation, using video from an egocentric camera. Our method performs inference about activities, actions, hands, a...
Alireza Fathi, Ali Farhadi, James M. Rehg
JAISE
2010
182views Algorithms» more  JAISE 2010»
13 years 5 months ago
Exploring semantics in activity recognition using context lattices
Studying human activities has significant implication in human beneficial applications such as personal healthcare. This research has been facilitated by the development of sensor ...
Juan Ye, Simon Dobson
CVPR
2009
IEEE
15 years 5 months ago
Locally Time-Invariant models of Human Activities using Trajectories on the Grassmanian
Human activity analysis is an important problem in computer vision with applications in surveillance and summarization and indexing of consumer content. Complex human activities...
Pavan Turaga, Rama Chellappa