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AI
1999
Springer
15 years 4 months ago
Cooperative Behavior Acquisition for Mobile Robots in Dynamically Changing Real Worlds Via Vision-Based Reinforcement Learning a
In this paper, we first discuss the meaning of physical embodiment and the complexity of the environment in the context of multi-agent learning. We then propose a vision-based rei...
Minoru Asada, Eiji Uchibe, Koh Hosoda
163
Voted
TVCG
2010
213views more  TVCG 2010»
15 years 2 months ago
Real-Time Detection and Tracking for Augmented Reality on Mobile Phones
—In this paper, we present three techniques for 6DOF natural feature tracking in real time on mobile phones. We achieve interactive frame rates of up to 30 Hz for natural feature...
Daniel Wagner, Gerhard Reitmayr, Alessandro Mullon...
TITS
2011
165views more  TITS 2011»
14 years 11 months ago
Analysis of Real-World Driver's Frustration
—This study investigates a method for estimating a driver’s spontaneous frustration in the real world. In line with a specific definition of emotion, the proposed method inte...
Lucas Malta, Chiyomi Miyajima, Norihide Kitaoka, K...
143
Voted
ICCV
2011
IEEE
14 years 4 months ago
DTAM: Dense Tracking and Mapping in Real-Time
DTAM is a system for real-time camera tracking and reconstruction which relies not on feature extraction but dense, every pixel methods. As a single hand-held RGB camera flies ov...
Richard A. Newcombe, Steven Lovegrove, Andrew J. D...
JSA
2008
108views more  JSA 2008»
15 years 4 months ago
A methodology to design arbitrary failure detectors for distributed protocols
Nowadays, there are many protocols able to cope with process crashes, but, unfortunately, a process crash represents only a particular faulty behavior. Handling tougher failures (...
Roberto Baldoni, Jean-Michel Hélary, Sara T...