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ECCV
2008
Springer
14 years 12 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
HICSS
2005
IEEE
130views Biometrics» more  HICSS 2005»
14 years 3 months ago
Knowledge Flow in Interdisciplinary Teams
Knowledge flow in interdisciplinary teams has become of particular interest as research and alliances cross traditional disciplinary boundaries, and as computing is applied in any...
Caroline Haythornthwaite
EH
2004
IEEE
149views Hardware» more  EH 2004»
14 years 1 months ago
Organization of the Information Flow in the Perception-Action Loop of Evolved Agents
Sensor evolution in nature aims at improving the acquisition of information from the environment and is intimately related with selection pressure towards adaptivity and robustnes...
Alexander S. Klyubin, Daniel Polani, Chrystopher L...
GEOINFO
2004
13 years 11 months ago
Uncertainty in Digital Elevation Data Used For Geophysical Flow Simulation
: Elevation information plays a crucial role in simulations of geophysical flows providing the slope and curvature information required to solve a series of differential equations....
Laércio Massaru Namikawa, Chris S. Renschle...
CGF
2000
158views more  CGF 2000»
13 years 10 months ago
Unsteady Flow Visualization by Animating Evenly-Spaced Streamlines
In recent years the work on vector field visualization has been concentrated on LIC-based methods. In this paper we propose an alternative solution for the visualization of unstea...
Bruno Jobard, Wilfrid Lefer