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» A Model for Large Scale Self-Stabilization
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LSSC
2007
Springer
14 years 1 months ago
Parallel Implementation of LQG Balanced Truncation for Large-Scale Systems
Model reduction of large-scale linear time-invariant systems is an ubiquitous task in control and simulation of complex dynamical processes. We discuss how LQG balanced truncation ...
José M. Badía, Peter Benner, Rafael ...
CP
2005
Springer
14 years 1 months ago
Distributed Constraints for Large-Scale Scheduling Problems
Many problems of theoretical and practical interest can be formulated as Constraint Satisfaction Problems (CSPs). The general CSP is known to be NP-complete; however, distributed m...
Montserrat Abril, Miguel A. Salido, Federico Barbe...
ICML
2009
IEEE
14 years 8 months ago
Prototype vector machine for large scale semi-supervised learning
Practical data mining rarely falls exactly into the supervised learning scenario. Rather, the growing amount of unlabeled data poses a big challenge to large-scale semi-supervised...
Kai Zhang, James T. Kwok, Bahram Parvin
CVPR
2009
IEEE
15 years 3 months ago
A Streaming Framework for Seamless Building Reconstruction from Large-Scale Aerial LiDAR Data
We present a streaming framework for seamless building reconstruction from huge aerial LiDAR point sets. By storing data as stream files on hard disk and using main memory as only ...
Qian-Yi Zhou (University of Southern California), ...
VLSID
2002
IEEE
124views VLSI» more  VLSID 2002»
14 years 8 months ago
Efficient Approximate Balanced Truncation of General Large-Scale RLC Systems via Krylov Methods
We present an efficient implementation of an approximate balanced truncation model reduction technique for general large-scale RLC systems, described by a statespace model where t...
Q. Su, Venkataramanan Balakrishnan, Cheng-Kok Koh