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GECCO
2004
Springer
183views Optimization» more  GECCO 2004»
14 years 1 months ago
A Novel Immune Feedback Control Algorithm and Its Applications
This paper first analyzes the feedback principle of nature immune system and then the immune process is imitated by virtue of nonlinear molecular dynamics. Then the mathematic mode...
Zhen-qiang Qi, Shen-min Song, Zhao-hua Yang, Guang...
PAMI
2008
182views more  PAMI 2008»
13 years 7 months ago
Gaussian Process Dynamical Models for Human Motion
We introduce Gaussian process dynamical models (GPDMs) for nonlinear time series analysis, with applications to learning models of human pose and motion from high-dimensional motio...
Jack M. Wang, David J. Fleet, Aaron Hertzmann
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
CVPR
2007
IEEE
14 years 10 months ago
Discriminative Learning of Dynamical Systems for Motion Tracking
We introduce novel discriminative learning algorithms for dynamical systems. Models such as Conditional Random Fields or Maximum Entropy Markov Models outperform the generative Hi...
Minyoung Kim, Vladimir Pavlovic
CORR
2006
Springer
152views Education» more  CORR 2006»
13 years 8 months ago
On Reduced Complexity Soft-Output MIMO ML detection
In multiple-input multiple-output (MIMO) fading channels maximum likelihood (ML) detection is desirable to achieve high performance, but its complexity grows exponentially with th...
Massimiliano Siti, Michael P. Fitz