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BMCBI
2006
146views more  BMCBI 2006»
13 years 7 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...
CORR
2011
Springer
209views Education» more  CORR 2011»
12 years 11 months ago
Close the Gaps: A Learning-while-Doing Algorithm for a Class of Single-Product Revenue Management Problems
In this work, we consider a retailer selling a single product with limited on-hand inventory over a finite selling season. Customer demand arrives according to a Poisson process,...
Zizhuo Wang, Shiming Deng, Yinyu Ye
ICIP
2006
IEEE
14 years 9 months ago
Robust Kernel-Based Tracking using Optimal Control
Although more efficient in computation compared to other tracking approaches such as particle filtering, the kernel-based tracking suffers from the "singularity" problem...
Wei Qu, Dan Schonfeld
IROS
2009
IEEE
143views Robotics» more  IROS 2009»
14 years 2 months ago
Standing balance control using a trajectory library
— This paper presents a standing balance controller. We employ a library of optimal trajectories and the neighboring optimal control method to generate local approximations to th...
Chenggang Liu, Christopher G. Atkeson
SIGGRAPH
1994
ACM
13 years 11 months ago
FBRAM: a new form of memory optimized for 3D graphics
FBRAM, a new form of dynamic random access memory that greatly accelerates the rendering of Z-buffered primitives, is presented. Two key concepts make this acceleration possible. ...
Michael F. Deering, Stephen A. Schlapp, Michael G....