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CAINE
2010
13 years 6 months ago
Real-Time Emotional Speech Processing for Neurorobotics Applications
The ability for humans to understand and process the emotional content of speech is unsurpassed by simulated intelligent agents. Beyond the linguistic content of speech are the un...
Corey M. Thibeault, Oscar Sessions, Philip H. Good...
CVPR
2000
IEEE
14 years 10 months ago
Impact of Dynamic Model Learning on Classification of Human Motion
The human figure exhibits complex and rich dynamic behavior that is both nonlinear and time-varying. However, most work on tracking and analysis of figure motion has employed eith...
Vladimir Pavlovic, James M. Rehg
CDC
2008
IEEE
143views Control Systems» more  CDC 2008»
14 years 2 months ago
A nonlinear, control-oriented model for ionic polymer-metal composite actuators
Ionic polymer-metal composites (IPMCs) form an important category of electroactive polymers and have many potential applications in biomedical, robotic and micro/nano manipulation ...
Zheng Chen, Dawn R. Hedgepeth, Xiaobo Tan
CVPR
2008
IEEE
14 years 2 months ago
The statistical modelling of fingerprint minutiae distribution with implications for fingerprint individuality studies
The spatial distribution of fingerprint minutiae is a core problem in the fingerprint individuality study, the cornerstone of the fingerprint authentication technology. Previously...
Jiansheng Chen, Yiu Sang Moon
ROBOCUP
2007
Springer
153views Robotics» more  ROBOCUP 2007»
14 years 2 months ago
Model-Based Reinforcement Learning in a Complex Domain
Reinforcement learning is a paradigm under which an agent seeks to improve its policy by making learning updates based on the experiences it gathers through interaction with the en...
Shivaram Kalyanakrishnan, Peter Stone, Yaxin Liu