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» On Markov-Additive Jump Processes
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AUTOMATICA
2006
120views more  AUTOMATICA 2006»
14 years 11 months ago
Transition probability bounds for the stochastic stability robustness of continuous- and discrete-time Markovian jump linear sys
This paper considers the robustness of stochastic stability of Markovian jump linear systems in continuous- and discrete-time with respect to their transition rates and probabilit...
Mehmet Karan, Peng Shi, C. Yalçin Kaya
IPSN
2004
Springer
15 years 5 months ago
Estimation from lossy sensor data: jump linear modeling and Kalman filtering
Due to constraints in cost, power, and communication, losses often arise in large sensor networks. The sensor can be modeled as an output of a linear stochastic system with random...
Alyson K. Fletcher, Sundeep Rangan, Vivek K. Goyal
CVPR
2010
IEEE
15 years 7 months ago
Hybrid Multi-view Reconstruction by Jump-Diffusion
We propose a multi-view stereo reconstruction algorithm which recovers urban scenes as a combination of meshes and geometric primitives. It provides a compact model while preservi...
Florent Lafarge, Renaud Keriven, Mathieu Bredif, H...
COMCOM
2007
82views more  COMCOM 2007»
14 years 11 months ago
Jumping ant routing algorithm for sensor networks
Enterprises that may rely on critical equipments which are constantly moving around, for example, hospitals – need to ensure they can know the current location of vital but mobi...
Wei-Ming Chen, Chung-Sheng Li, Fu-Yu Chiang, Han-C...
IJSNET
2007
155views more  IJSNET 2007»
14 years 11 months ago
Distributed Bayesian fault diagnosis of jump Markov systems in wireless sensor networks
: A Bayesian distributed online change detection algorithm is proposed for monitoring a dynamical system by a wireless sensor network. The proposed solution relies on modelling the...
Hichem Snoussi, Cédric Richard