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» On Markov-Additive Jump Processes
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AUTOMATICA
2006
120views more  AUTOMATICA 2006»
13 years 9 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
14 years 3 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
14 years 5 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»
13 years 9 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»
13 years 9 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