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TSMC
2002
110views more  TSMC 2002»
13 years 7 months ago
Complexity reduction for "large image" processing
We present a method for sampling feature vectors in large (e.g., 2000 5000 16 bit) images that finds subsets of pixel locations which represent "regions" in the image. Sa...
Nikhil R. Pal, James C. Bezdek
DATE
2008
IEEE
170views Hardware» more  DATE 2008»
14 years 1 months ago
ETBR: Extended Truncated Balanced Realization Method for On-Chip Power Grid Network Analysis
In this paper, we present a novel simulation approach for power grid network analysis. The new approach, called ETBR for extended truncated balanced realization, is based on model...
Duo Li, Sheldon X.-D. Tan, Bruce McGaughy
INTEGRATION
2008
101views more  INTEGRATION 2008»
13 years 7 months ago
An efficient terminal and model order reduction algorithm
The paper proposes an efficient terminal and model order reduction method for compact modeling of interconnect circuits with many terminals. The new method is inspired by the rece...
Pu Liu, Sheldon X.-D. Tan, Boyuan Yan, Bruce McGau...
COMPLIFE
2006
Springer
13 years 11 months ago
Set-Oriented Dimension Reduction: Localizing Principal Component Analysis Via Hidden Markov Models
We present a method for simultaneous dimension reduction and metastability analysis of high dimensional time series. The approach is based on the combination of hidden Markov model...
Illia Horenko, Johannes Schmidt-Ehrenberg, Christo...
CMSB
2008
Springer
13 years 9 months ago
Automatic Complexity Analysis and Model Reduction of Nonlinear Biochemical Systems
Kinetic models for biochemical systems often comprise a large amount of coupled differential equations with species concentrations varying on different time scales. In this paper w...
Dirk Lebiedz, Dominik Skanda, Marc Fein