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CORR
2006
Springer
95views Education» more  CORR 2006»
14 years 9 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 3 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
73
Voted
INFOCOM
2009
IEEE
15 years 4 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
15 years 11 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
15 years 11 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...