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IGARSS
2009
15 years 26 days ago
Estimation and Segmentation in Non-Gaussian POLSAR Clutter by SIRV Stochastic Processes
In the context of non-Gaussian polarimetric clutter models, this paper presents an application of the recent advances in the field of Spherically Invariant Random Vectors (SIRV) m...
Gabriel Vasile, Jean Philippe Ovarlez, Fréd...
ECCV
2008
Springer
16 years 5 months ago
Learning for Optical Flow Using Stochastic Optimization
Abstract. We present a technique for learning the parameters of a continuousstate Markov random field (MRF) model of optical flow, by minimizing the training loss for a set of grou...
Yunpeng Li, Daniel P. Huttenlocher
SMI
2005
IEEE
15 years 8 months ago
Stochastic Microgeometry for Displacement Mapping
Creating surfaces with intricate small-scale features (microgeometry) and detail is an important task in geometric modeling and computer graphics. We present a model processing me...
Craig A. Schroeder, David E. Breen, Christopher D....
IJCAI
2007
15 years 4 months ago
A General Framework for Scheduling in a Stochastic Environment
There are many systems and techniques that address stochastic scheduling problems, based on distinct and sometimes opposite approaches, especially in terms of how scheduling and s...
Julien Bidot, Thierry Vidal, Philippe Laborie, J. ...
ANOR
2007
165views more  ANOR 2007»
15 years 3 months ago
Financial scenario generation for stochastic multi-stage decision processes as facility location problems
The quality of multi-stage stochastic optimization models as they appear in asset liability management, energy planning, transportation, supply chain management, and other applicat...
Ronald Hochreiter, Georg Ch. Pflug