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» Learning human actions via information maximization
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JAISE
2010
182views Algorithms» more  JAISE 2010»
14 years 4 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
ICAD
2004
14 years 11 months ago
Interaction Sound Feedback in a Haptic Virtual Environment to Improve Motor Skill Acquisition
This paper describes the concept and the realisation of a research prototype of a haptic environment that is enhanced with sound feedback to impart implicit knowledge and to teach...
Christian Müller-Tomfelde
CHI
2008
ACM
15 years 10 months ago
CueFlik: interactive concept learning in image search
Web image search is difficult in part because a handful of keywords are generally insufficient for characterizing the visual properties of an image. Popular engines have begun to ...
James Fogarty, Desney S. Tan, Ashish Kapoor, Simon...
IUI
2009
ACM
15 years 4 months ago
Discovering frequent work procedures from resource connections
Intelligent desktop assistants could provide more help for users if they could learn models of the users’ workflows. However, discovering desktop workflows is difficult becau...
Jianqiang Shen, Erin Fitzhenry, Thomas G. Dietteri...
SMC
2007
IEEE
102views Control Systems» more  SMC 2007»
15 years 4 months ago
An improved immune Q-learning algorithm
—Reinforcement learning is a framework in which an agent can learn behavior without knowledge on a task or an environment by exploration and exploitation. Striking a balance betw...
Zhengqiao Ji, Q. M. Jonathan Wu, Maher A. Sid-Ahme...