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» Estimation of non-stationary Markov Chain transition models
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PAMI
2008
161views more  PAMI 2008»
14 years 11 months ago
Multilayered 3D LiDAR Image Construction Using Spatial Models in a Bayesian Framework
Standard 3D imaging systems process only a single return at each pixel from an assumed single opaque surface. However, there are situations when the laser return consists of multip...
Sergio Hernandez-Marin, Andrew M. Wallace, Gavin J...
AUTOMATICA
2006
80views more  AUTOMATICA 2006»
14 years 12 months ago
State estimation over packet dropping networks using multiple description coding
For state estimation over a communication network, efficiency and reliability of the network are critical issues. The presence of packet dropping and communication delay can great...
Zhipu Jin, Vijay Gupta, Richard M. Murray
RTAS
2006
IEEE
15 years 5 months ago
Scalable Modeling and Performance Evaluation of Wireless Sensor Networks
A notable features of many proposed Wireless Sensor Networks (WSNs) deployments is their scale: hundreds to thousands of nodes linked together. In such systems, modeling the state...
YoungMin Kwon, Gul Agha
PE
2007
Springer
130views Optimization» more  PE 2007»
14 years 11 months ago
Performability analysis of clustered systems with rejuvenation under varying workload
This paper develops time-based rejuvenation policies to improve the performability measures of a cluster system. Three rejuvenation policies, namely standard rejuvenation, delayed...
Dazhi Wang, Wei Xie, Kishor S. Trivedi
ECCV
2002
Springer
16 years 1 months ago
Hyperdynamics Importance Sampling
Sequential random sampling (`Markov Chain Monte-Carlo') is a popular strategy for many vision problems involving multimodal distributions over high-dimensional parameter spac...
Cristian Sminchisescu, Bill Triggs