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ECCV
2006
Springer
14 years 10 months ago
Statistical Priors for Efficient Combinatorial Optimization Via Graph Cuts
Abstract. Bayesian inference provides a powerful framework to optimally integrate statistically learned prior knowledge into numerous computer vision algorithms. While the Bayesian...
Daniel Cremers, Leo Grady
ICDCS
2010
IEEE
14 years 21 days ago
Stochastic Steepest-Descent Optimization of Multiple-Objective Mobile Sensor Coverage
—We propose a steepest descent method to compute optimal control parameters for balancing between multiple performance objectives in stateless stochastic scheduling, wherein the ...
Chris Y. T. Ma, David K. Y. Yau, Nung Kwan Yip, Na...
ISCA
2002
IEEE
127views Hardware» more  ISCA 2002»
14 years 1 months ago
The Optimum Pipeline Depth for a Microprocessor
The impact of pipeline length on the performance of a microprocessor is explored both theoretically and by simulation. An analytical theory is presented that shows two opposing ar...
Allan Hartstein, Thomas R. Puzak
HPCA
1999
IEEE
14 years 1 months ago
Improving CC-NUMA Performance Using Instruction-Based Prediction
We propose Instruction-based Prediction as a means to optimize directory-based cache coherent NUMA shared-memory. Instruction-based prediction is based on observing the behavior o...
Stefanos Kaxiras, James R. Goodman
IBPRIA
2007
Springer
14 years 2 months ago
Optimally Discriminant Moments for Speckle Detection in Real B-Scan Images
Detection of speckle in ultrasound (US) images has been regarded as an important research topic in US imaging, mainly focusing on two specific applications: improving signal to no...
Robert Marti, Joan Martí, Jordi Freixenet, ...