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» A Bayesian network framework for reject inference
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ICMLA
2007
13 years 9 months ago
Uncertainty optimization for robust dynamic optical flow estimation
We develop an optical flow estimation framework that focuses on motion estimation over time formulated in a Dynamic Bayesian Network. It realizes a spatiotemporal integration of ...
Volker Willert, Marc Toussaint, Julian Eggert, Edg...
PERCOM
2007
ACM
14 years 7 months ago
Structural Learning of Activities from Sparse Datasets
Abstract. A major challenge in pervasive computing is to learn activity patterns, such as bathing and cleaning from sensor data. Typical sensor deployments generate sparse datasets...
Fahd Albinali, Nigel Davies, Adrian Friday
CVPR
2000
IEEE
14 years 9 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
ILP
2005
Springer
14 years 1 months ago
Deriving a Stationary Dynamic Bayesian Network from a Logic Program with Recursive Loops
Recursive loops in a logic program present a challenging problem to the PLP framework. On the one hand, they loop forever so that the PLP backward-chaining inferences would never s...
Yi-Dong Shen, Qiang Yang
SIGMETRICS
2006
ACM
102views Hardware» more  SIGMETRICS 2006»
14 years 1 months ago
NetQuest: a flexible framework for large-scale network measurement
Abstract—In this paper, we present NetQuest, a flexible framework for large-scale network measurement. We apply Bayesian experimental design to select active measurements that m...
Han Hee Song, Lili Qiu, Yin Zhang