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ECCV
2008
Springer
15 years 11 months ago
Constrained Maximum Likelihood Learning of Bayesian Networks for Facial Action Recognition
Probabilistic graphical models such as Bayesian Networks have been increasingly applied to many computer vision problems. Accuracy of inferences in such models depends on the quali...
Cassio Polpo de Campos, Yan Tong, Qiang Ji
JCP
2006
151views more  JCP 2006»
14 years 9 months ago
Simulated Annealing based Wireless Sensor Network Localization
In this paper, we describe a novel localization algorithm for ad hoc wireless sensor networks. Accurate selforganization and localization capability is a highly desirable character...
Anushiya A. Kannan, Guoqiang Mao, Branka Vucetic
SENSYS
2004
ACM
15 years 3 months ago
Simulating the power consumption of large-scale sensor network applications
Developing sensor network applications demands a new set of tools to aid programmers. A number of simulation environments have been developed that provide varying degrees of scala...
Victor Shnayder, Mark Hempstead, Bor-rong Chen, Ge...
IJCV
2002
188views more  IJCV 2002»
14 years 9 months ago
Scalable Extrinsic Calibration of Omni-Directional Image Networks
We describe a linear-time algorithm that recovers absolute camera orientations and positions, along with uncertainty estimates, for networks of terrestrial image nodes spanning hun...
Matthew E. Antone, Seth J. Teller
CVPR
2009
IEEE
16 years 2 months ago
Distributed Volumetric Scene Geometry Reconstruction With a Network of Distributed Smart Cameras
Central to many problems in scene understanding based on using a network of tens, hundreds or even thousands of randomly distributed cameras with on-board processing and wireless c...
Shubao Liu, Kongbin Kang, Jean-Philippe Tarel and ...