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CORR
2006
Springer
95views Education» more  CORR 2006»
14 years 12 months ago
Naming Games in Spatially-Embedded Random Networks
We investigate a prototypical agent-based model, the Naming Game, on random geometric networks. The Naming Game is a minimal model, employing local communications that captures th...
Qiming Lu, Gyorgy Korniss, Boleslaw K. Szymanski
CVPR
2010
IEEE
15 years 6 months ago
Putting local features on a Manifold
Local features have proven very useful for recognition. Manifold learning has proven to be a very powerful tool in data analysis. However, manifold learning application for imag...
Marwan Torki and Ahmed Elgammal
INFOCOM
2009
IEEE
15 years 6 months ago
Topological Data Processing for Distributed Sensor Networks with Morse-Smale Decomposition
Abstract—We are interested in topological analysis and processing of the large-scale distributed data generated by sensor networks. Naturally a large-scale sensor network is depl...
Xianjin Zhu, Rik Sarkar, Jie Gao
CVPR
2006
IEEE
16 years 1 months ago
The Registration Problem Revisited: Optimal Solutions From Points, Lines and Planes
In this paper we propose a practical and efficient method for finding the globally optimal solution to the problem of pose estimation of a known object. We present a framework tha...
Carl Olsson, Fredrik Kahl, Magnus Oskarsson
ICCV
2003
IEEE
16 years 1 months ago
Globally Convergent Autocalibration
Existing autocalibration techniques use numerical optimization algorithms that are prone to the problem of local minima. To address this problem, we have developed a method where ...
Arrigo Benedetti, Alessandro Busti, Michela Farenz...