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ISNN
2010
Springer
15 years 2 months ago
Visual Selection and Attention Shifting Based on FitzHugh-Nagumo Equations
In this paper, we make some analysis on the FitzHugh-Nagumo model and improve it to build a neural network, and the network is used to implement visual selection and attention shif...
Haili Wang, Yuanhua Qiao, Lijuan Duan, Faming Fang...
DAGM
1998
Springer
15 years 2 months ago
Discrete Mixture Models for Unsupervised Image Segmentation
This paper introduces a novel statistical mixture model for probabilistic clustering of histogram data and, more generally, for the analysis of discrete co occurrence data. Adoptin...
Jan Puzicha, Joachim M. Buhmann, Thomas Hofmann
EUROCRYPT
1998
Springer
15 years 2 months ago
How to Improve an Exponentiation Black-Box
Abstract. In this paper we present a method for improving the performance of RSA-type exponentiations. The scheme is based on the observation that replacing the exponent d by d = d...
Gérard D. Cohen, Antoine Lobstein, David Na...
CGI
2004
IEEE
15 years 1 months ago
An Adaptive Sampling Method for Layered Depth Image
Sampling issue is an important problem in image based rendering. In this paper, we propose an adaptive sampling method to improve the Layered Depth Image framework. Different from...
Ravinder Namboori, Hung Chuan Teh, Zhiyong Huang
WSC
2007
15 years 9 days ago
Sensitivity estimates from characteristic functions
We investigate the application of the likelihood ratio method (LRM) for sensitivity estimation when the relevant density for the underlying model is known only through its charact...
Paul Glasserman, Zongjian Liu