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» Optimizing dynamic dispatch with fine-grained state tracking
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DAC
2010
ACM
14 years 10 months ago
Adaptive and autonomous thermal tracking for high performance computing systems
Many DTM schemes rely heavily on the accurate knowledge of the chip's dynamic thermal state to make optimal performance/ temperature trade-off decisions. This information is ...
Yufu Zhang, Ankur Srivastava
ICASSP
2011
IEEE
14 years 1 months ago
Estimation and dynamic updating of time-varying signals with sparse variations
This paper presents an algorithm for an 1-regularized Kalman filter. Given observations of a discrete-time linear dynamical system with sparse errors in the state evolution, we e...
Muhammad Salman Asif, Adam Charles, Justin K. Romb...
CVPR
2008
IEEE
15 years 11 months ago
A recursive filter for linear systems on Riemannian manifolds
We present an online, recursive filtering technique to model linear dynamical systems that operate on the state space of symmetric positive definite matrices (tensors) that lie on...
Ambrish Tyagi, James W. Davis
IJCV
2008
188views more  IJCV 2008»
14 years 9 months ago
Partial Linear Gaussian Models for Tracking in Image Sequences Using Sequential Monte Carlo Methods
The recent development of Sequential Monte Carlo methods (also called particle filters) has enabled the definition of efficient algorithms for tracking applications in image sequen...
Elise Arnaud, Étienne Mémin
ICRA
2005
IEEE
146views Robotics» more  ICRA 2005»
15 years 3 months ago
Bandwidth Management for Distributed Control of Highly Articulated Robots
— An optimal bandwidth allocation policy for axis distributed control using networked control systems (NCS) is presented. First, the benefits of structuring highly articulated r...
Manel Velasco, Pau Martí, Manel Frigola