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» The Inference Based on Molecular Computing
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SAC
2008
ACM
13 years 9 months ago
Bayesian inference for a discretely observed stochastic kinetic model
The ability to infer parameters of gene regulatory networks is emerging as a key problem in systems biology. The biochemical data are intrinsically stochastic and tend to be observ...
Richard J. Boys, Darren J. Wilkinson, Thomas B. L....
ACCV
2010
Springer
13 years 5 months ago
Network Connectivity via Inference over Curvature-Regularizing Line Graphs
Abstract. Diffusion Tensor Imaging (DTI) provides estimates of local directional information regarding paths of white matter tracts in the human brain. An important problem in DTI ...
Maxwell D. Collins, Vikas Singh, Andrew L. Alexand...
ICCV
1999
IEEE
14 years 11 months ago
Manhattan World: Compass Direction from a Single Image by Bayesian Inference
When designing computer vision systems for the blind and visually impaired it is important to determine the orientation of the user relative to the scene. We observe that most ind...
James M. Coughlan, Alan L. Yuille
CVPR
2007
IEEE
14 years 1 months ago
Inferring 3D Volumetric Shape of Both Moving Objects and Static Background Observed by a Moving Camera
We present a novel approach to inferring 3D volumetric shape of both moving objects and static background from video sequences shot by a moving camera, with the assumption that th...
Chang Yuan, Gérard G. Medioni
CHI
2008
ACM
14 years 10 months ago
Do knobs have character?: exploring diversity in users' inferences
Physical controls are now ubiquitous in everyday interactions. Empirical studies of physical interactions have traditionally been exploring instrumental aspects such as error rate...
Evangelos Karapanos, Stephan Wensveen, Bart Friede...