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» The Four Phase Method for Modelling Complex Systems
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CVPR
2004
IEEE
15 years 1 months ago
Modeling Complex Motion by Tracking and Editing Hidden Markov Graphs
In this paper, we propose a generative model for representing complex motion, such as wavy river, dancing fire and dangling cloth. Our generative method consists of four component...
Yizhou Wang, Song Chun Zhu
TIP
2008
205views more  TIP 2008»
14 years 9 months ago
Image Denoising Using Derotated Complex Wavelet Coefficients
A method for removing additive Gaussian noise from digital images is described. It is based on statistical modeling of the coefficients of a redundant, oriented, complex multiscale...
Mark Miller, Nick G. Kingsbury
CMSB
2008
Springer
14 years 11 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
LCPC
2004
Springer
15 years 3 months ago
Phase-Based Miss Rate Prediction Across Program Inputs
Previous work shows the possibility of predicting the cache miss rate (CMR) for all inputs of a program. However, most optimization techniques need to know more than the miss rate ...
Xipeng Shen, Yutao Zhong, Chen Ding
SMC
2007
IEEE
224views Control Systems» more  SMC 2007»
15 years 4 months ago
Complex networks as control paradigm for complex systems
—Rooted in a deep understanding of their major properties, a control paradigm for complex systems is proposed based on latest advances in modeling the dynamics of complex network...
Stefan Grobbelaar, Mihaela Ulieru