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CRV
2011
IEEE
309views Robotics» more  CRV 2011»
14 years 6 months ago
Optimal Alignment of 3D Data for Spatial Discretization
—We present an algorithm that finds the rotation which best aligns a given configuration of directions on an unsorted set of directions. Using a cost function that we derive in...
Benjamin Huhle, Timo Schairer, Andreas Schilling, ...
CGO
2009
IEEE
16 years 1 months ago
Scenario Based Optimization: A Framework for Statically Enabling Online Optimizations
Abstract—Online optimization allows the continuous restructuring and adaptation of an executing application using live information about its execution environment. The further ad...
Jason Mars, Robert Hundt
BMCBI
2006
146views more  BMCBI 2006»
15 years 6 months ago
Optimized Particle Swarm Optimization (OPSO) and its application to artificial neural network training
Background: Particle Swarm Optimization (PSO) is an established method for parameter optimization. It represents a population-based adaptive optimization technique that is influen...
Michael Meissner, Michael Schmuker, Gisbert Schnei...
ICIAP
2007
ACM
16 years 6 months ago
Efficient and optimal block matching for motion estimation
This paper proposes a novel technique for performing fast block matching for motion estimation which is optimal, meaning it yields the same results as a full-search investigation....
Stefano Mattoccia, Federico Tombari, Luigi di Stef...
ICMCS
2007
IEEE
194views Multimedia» more  ICMCS 2007»
16 years 1 months ago
Automatically Tuning Background Subtraction Parameters using Particle Swarm Optimization
A common trait of background subtraction algorithms is that they have learning rates, thresholds, and initial values that are hand-tuned for a scenario in order to produce the des...
Brandyn White, Mubarak Shah