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» Learning for Optical Flow Using Stochastic Optimization
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ICCV
2003
IEEE
14 years 7 months ago
Bayesian Clustering of Optical Flow Fields
We present a method for unsupervised learning of classes of motions in video. We project optical flow fields to a complete, orthogonal, a-priori set of basis functions in a probab...
Jesse Hoey, James J. Little
NETWORKS
2010
13 years 4 months ago
A mean-variance model for the minimum cost flow problem with stochastic arc costs
This paper considers a minimum cost flow problem where arc costs are uncertain, and the decision maker wishes to minimize both the expected flow cost and the variance of this co...
Stephen D. Boyles, S. Travis Waller
ISCAS
2006
IEEE
118views Hardware» more  ISCAS 2006»
13 years 11 months ago
A robust continuous-time multi-dithering technique for laser communications using adaptive optics
A robust system architecture to achieve optical coherency free optimization. Several methods that had been proposed in the in multiple-beam free-space laser communication links wit...
Dimitrios N. Loizos, Paul-Peter Sotiriadis, Gert C...
IWCM
2004
Springer
13 years 11 months ago
Optimal Filters for Extended Optical Flow
Estimation of optical flow and physically motivated brightness changes can be formulated as parameter estimation in linear models. Accuracy of this estimation heavily depends on t...
Hanno Scharr
NIPS
2004
13 years 7 months ago
Joint Tracking of Pose, Expression, and Texture using Conditionally Gaussian Filters
We present a generative model and stochastic filtering algorithm for simultaneous tracking of 3D position and orientation, non-rigid motion, object texture, and background texture...
Tim K. Marks, John R. Hershey, J. Cooper Roddey, J...