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» Computationally Efficient Neural Field Dynamics
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NIPS
2008
13 years 8 months ago
Non-stationary dynamic Bayesian networks
Abstract: Structure learning of dynamic Bayesian networks provide a principled mechanism for identifying conditional dependencies in time-series data. This learning procedure assum...
Joshua W. Robinson, Alexander J. Hartemink
ICN
2009
Springer
13 years 5 months ago
Characterization of Static/Dynamic Topological Routing for Grid Networks
Grid or 2D Mesh structures are becoming one of the most attractive network topologies to study. They can be used in many different fields raging from future broadband networks to ...
José M. Gutiérrez López, Rub&...
PLILP
1994
Springer
13 years 11 months ago
Dynamic Dependence in Term rewriting Systems and its Application to Program Slicing
Abstract. Program slicing is a useful technique for debugging, testing, and analyzing programs. A program slice consists of the parts of a program which (potentially) affect the va...
John Field, Frank Tip
CVPR
2005
IEEE
14 years 9 months ago
Multiple Collaborative Kernel Tracking
Those motion parameters that cannot be recovered from image measurements are unobservable in the visual dynamic system. This paper studies this important issue of singularity in th...
Zhimin Fan, Ying Wu, Ming Yang
IJCV
2008
281views more  IJCV 2008»
13 years 7 months ago
Simultaneous Segmentation and Pose Estimation of Humans Using Dynamic Graph Cuts
Abstract This paper presents a novel algorithm for performing integrated segmentation and 3D pose estimation of a human body from multiple views. Unlike other state of the art meth...
Pushmeet Kohli, Jonathan Rihan, Matthieu Bray, Phi...