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ISCA
2008
IEEE
137views Hardware» more  ISCA 2008»
14 years 2 months ago
Self-Optimizing Memory Controllers: A Reinforcement Learning Approach
Efficiently utilizing off-chip DRAM bandwidth is a critical issue in designing cost-effective, high-performance chip multiprocessors (CMPs). Conventional memory controllers deli...
Engin Ipek, Onur Mutlu, José F. Martí...
IROS
2007
IEEE
126views Robotics» more  IROS 2007»
14 years 2 months ago
A graph theoretic approach to optimal target tracking for mobile robot teams
Abstract— In this paper, we present an optimization framework for target tracking with mobile robot teams. The target tracking problem is modeled as a generic semidefinite progr...
Jason C. Derenick, John R. Spletzer, M. Ani Hsieh
AICT
2006
IEEE
129views Communications» more  AICT 2006»
13 years 11 months ago
Stochastic Thresholding: An approach to Estimator Optimization via Fisher Information Maximization
In stochastic thresholding, the threshold for quantization of a signal is randomized. An estimator based on quantized signal data can be optimized through stochastic thresholding. ...
Samudra Dasgupta
CORR
2010
Springer
104views Education» more  CORR 2010»
13 years 7 months ago
Heuristic approach to optimize the number of test cases for simple circuits
In this paper a new solution is proposed for testing simple stwo stage electronic circuits. It minimizes the number of tests to be performed to determine the genuinity of the circ...
S. M. Thamarai, K. Kuppusamy, T. Meyyappan
CDC
2009
IEEE
156views Control Systems» more  CDC 2009»
13 years 11 months ago
An optimization approach to adaptive Kalman filtering
— In this paper, an optimization-based adaptive Kalman filtering method is proposed. The method produces an estimate of the process noise covariance matrix Q by solving an optim...
Maja Karasalo, Xiaoming Hu