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ICMLA
2007
13 years 11 months ago
Uncertainty optimization for robust dynamic optical flow estimation
We develop an optical flow estimation framework that focuses on motion estimation over time formulated in a Dynamic Bayesian Network. It realizes a spatiotemporal integration of ...
Volker Willert, Marc Toussaint, Julian Eggert, Edg...
NIPS
2008
13 years 11 months ago
Tracking Changing Stimuli in Continuous Attractor Neural Networks
Continuous attractor neural networks (CANNs) are emerging as promising models for describing the encoding of continuous stimuli in neural systems. Due to the translational invaria...
C. C. Alan Fung, K. Y. Michael Wong, Si Wu
SEC
2008
13 years 11 months ago
Facilitating Privacy Related Decisions in Different Privacy Contexts on the Internet by Evaluating Trust in Recipients of Privat
Every time a user uses the Internet, a wealth of personal information is revealed, either voluntarily or involuntarily. This often causes privacy breaches, specially if the informa...
Indrajit Ray, Sudip Chakraborty
ALENEX
2004
116views Algorithms» more  ALENEX 2004»
13 years 11 months ago
A Computational Framework for Handling Motion
We present a framework for implementing geometric algorithms involving motion. It is written in C++ and modeled after and makes extensive use of CGAL (Computational Geometry Algor...
Leonidas J. Guibas, Menelaos I. Karavelas, Daniel ...
VMV
2004
126views Visualization» more  VMV 2004»
13 years 11 months ago
Top-Down Visual Attention for Efficient Rendering of Task Related Scenes
The perception of a virtual environment depends on the user and the task the user is currently performing in that environment. Models of the human visual system can thus be exploi...
Veronica Sundstedt, Alan Chalmers, Kirsten Cater, ...