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» Learning for stochastic dynamic programming
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CVPR
2007
IEEE
16 years 3 months ago
Learning Dynamic Event Descriptions in Image Sequences
Automatic detection of dynamic events in video sequences has a variety of applications including visual surveillance and monitoring, video highlight extraction, intelligent transp...
Harini Veeraraghavan, Nikolaos Papanikolopoulos, P...
108
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ICMI
2010
Springer
129views Biometrics» more  ICMI 2010»
14 years 12 months ago
Quantifying group problem solving with stochastic analysis
Quantifying the relationship between group dynamics and group performance is a key issue of increasing group performance. In this paper, we will discuss how group performance is r...
Wen Dong, Alex Pentland
FLAIRS
2007
15 years 4 months ago
Managing Dynamic Contexts Using Failure-Driven Stochastic Models
We describe an architecture for representing and managing context shifts that supports dynamic data interpretation. This architecture utilizes two layers of learning and three lay...
Nikita A. Sakhanenko, George F. Luger, Carl R. Ste...
ICML
2006
IEEE
16 years 2 months ago
Predictive linear-Gaussian models of controlled stochastic dynamical systems
We introduce the controlled predictive linearGaussian model (cPLG), a model that uses predictive state to model discrete-time dynamical systems with real-valued observations and v...
Matthew R. Rudary, Satinder P. Singh
ANOR
2007
67views more  ANOR 2007»
15 years 2 months ago
A stochastic programming model for asset liability management of a Finnish pension company
This paper describes a stochastic programming model that was developed for asset liability management of a Finnish pension insurance company. In many respects the model resembles t...
Petri Hilli, Matti Koivu, Teemu Pennanen, Antero R...