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» Approximate Learning of Dynamic Models
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ICAC
2007
IEEE
15 years 8 months ago
A Regression-Based Analytic Model for Dynamic Resource Provisioning of Multi-Tier Applications
— The multi-tier implementation has become the industry standard for developing scalable client-server enterprise applications. Since these applications are performance sensitive...
Qi Zhang, Ludmila Cherkasova, Evgenia Smirni
PAMI
2008
182views more  PAMI 2008»
15 years 1 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
IAT
2005
IEEE
15 years 7 months ago
An Approximate Pareto Optimal Cooperative Negotiation Model for Multiple
Cooperative negotiation is proved to be an effective paradigm to solve complex dynamic multi-objective problems in which each objective is associated to an agent. When the multi-o...
Nicola Gatti, Francesco Amigoni
CDC
2010
IEEE
186views Control Systems» more  CDC 2010»
14 years 8 months ago
Approximation and limiting behavior of random models
In this paper, we investigate limiting behavior of linear dynamic systems driven by random stochastic matrices. We introduce and study the new concepts of partial ergodicity and 1-...
Behrouz Touri, Angelia Nedic
ICCV
2009
IEEE
16 years 7 months ago
Learning Pedestrian Dynamics from the Real World
In this paper we describe a method to learn parameters which govern pedestrian motion by observing video data. Our learning framework is based on variational mode learning and a...
Paul Scovanner, Marshall Tappen