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» Approximate reduction of dynamic systems
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ICML
2009
IEEE
16 years 2 months ago
Analytic moment-based Gaussian process filtering
We propose an analytic moment-based filter for nonlinear stochastic dynamic systems modeled by Gaussian processes. Exact expressions for the expected value and the covariance matr...
Marc Peter Deisenroth, Marco F. Huber, Uwe D. Hane...
CVPR
2010
IEEE
15 years 9 months ago
Spike Train Driven Dynamical Models for Human Actions
We investigate dynamical models of human motion that can support both synthesis and analysis tasks. Unlike coarser discriminative models that work well when action classes are ...
Michalis Raptis, Kamil Wnuk , Stefano Soatto
CVPR
1999
IEEE
16 years 3 months ago
Time-Series Classification Using Mixed-State Dynamic Bayesian Networks
We present a novel mixed-state dynamic Bayesian network (DBN) framework for modeling and classifying timeseries data such as object trajectories. A hidden Markov model (HMM) of di...
Vladimir Pavlovic, Brendan J. Frey, Thomas S. Huan...
CDC
2008
IEEE
202views Control Systems» more  CDC 2008»
15 years 7 months ago
Integrating human and robot decision-making dynamics with feedback: Models and convergence analysis
— Leveraging research by psychologists on human decision-making, we present a human-robot decision-making problem associated with a complex task and study the corresponding joint...
Ming Cao, Andrew Reed Stewart, Naomi Ehrich Leonar...
ICWN
2007
15 years 2 months ago
Dynamic Optimal Fragmentation with Rate Adaptation for Goodput Enhancement in WLANs
—To meet the demand for broadband wireless communication, wireless systems should work well in typical wireless environments, characterized by the path loss of the signals, multi...
Yusun Chang, Christopher P. Lee, Bongkyoung Kwon, ...