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» Requirements-Based Estimation of Change Costs
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IOR
2006
163views more  IOR 2006»
13 years 7 months ago
Adaptive Importance Sampling Technique for Markov Chains Using Stochastic Approximation
For a discrete-time finite-state Markov chain, we develop an adaptive importance sampling scheme to estimate the expected total cost before hitting a set of terminal states. This s...
T. P. I. Ahamed, Vivek S. Borkar, S. Juneja
IPSN
2004
Springer
14 years 26 days 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
2007
IEEE
14 years 9 months ago
Belief Propagation in a 3D Spatio-temporal MRF for Moving Object Detection
Previous pixel-level change detection methods either contain a background updating step that is costly for moving cameras (background subtraction) or can not locate object positio...
Zhaozheng Yin, Robert T. Collins
CDC
2010
IEEE
112views Control Systems» more  CDC 2010»
13 years 2 months ago
Online Convex Programming and regularization in adaptive control
Online Convex Programming (OCP) is a recently developed model of sequential decision-making in the presence of time-varying uncertainty. In this framework, a decisionmaker selects ...
Maxim Raginsky, Alexander Rakhlin, Serdar Yük...
ICASSP
2011
IEEE
12 years 11 months ago
Correlation matrix interpolation in Sound Source Localization for a robot
In microphone array processing, a Correlation Matrix (CM) between multiple channel input signals is widely utilized for various purposes such as Sound Source Localization (SSL), e...
Keisuke Nakamura, Kazuhiro Nakadai, Hirofumi Nakaj...