922 search results - page 6 / 185 » Learning Gaussian Process Models from Uncertain Data |
ICASSP
2011
IEEE
12 years 10 months ago
2011
IEEE
This paper presents a robust unsupervised learning approach for detection of anomalies in patterns of human behavior using multi-modal smart environment sensor data. We model the ...
IROS
2008
IEEE
14 years 1 months ago
2008
IEEE
— High performance and compliant robot control requires accurate dynamics models which cannot be obtained analytically for sufficiently complex robot systems. In such cases, mac...
RSS
2007
13 years 8 months ago
2007
— In probabilistic mobile robotics, the development of measurement models plays a crucial role as it directly influences the efficiency and the robustness of the robot’s perf...
ESSMAC
2003
Springer
13 years 12 months ago
2003
Springer
Kernel-based non-parametric models have been applied widely over recent years. However, the associated computational complexity imposes limitations on the applicability of those me...
ICCV
2011
IEEE
12 years 6 months ago
2011
IEEE
Recognition of motions and activities of objects in videos requires effective representations for analysis and matching of motion trajectories. In this paper, we introduce a new r...