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ICANNGA
2009
Springer
141views Algorithms» more  ICANNGA 2009»
15 years 11 months ago
Connection Strategies in Associative Memory Models with Spiking and Non-spiking Neurons
The problem we address in this paper is that of finding effective and parsimonious patterns of connectivity in sparse associative memories. This problem must be addressed in real n...
Weiliang Chen, Reinoud Maex, Rod Adams, Volker Ste...
ICMLA
2008
15 years 8 months ago
Image Segmentation as Learning on Hypergraphs
In this paper, we propose to use hypergraphs as the model for images and pose image segmentation as a machine learning problem in which some pixels (called seeds) are labeled as t...
Lei Ding, Alper Yilmaz
AMC
2008
111views more  AMC 2008»
15 years 6 months ago
A domain decomposition method for the Oseen-viscoelastic flow equations
We study a non-overlapping domain decomposition method for the Oseen-viscoelastic flow problem. The data on the interface are transported through Newmann and Dirichlet boundary co...
Eleanor Jenkins, Hyesuk Lee
177
Voted
TCS
2008
15 years 6 months ago
On periodicity of two-dimensional words
A two-dimensional word is a function on Z2 with finite number of values. The main problem we are interested in is periodicity of twodimensional words satisfying some local conditi...
S. A. Puzynina, Sergey V. Avgustinovich
CVPR
1999
IEEE
16 years 8 months ago
A Novel Bayesian Method for Fitting Parametric and Non-Parametric Models to Noisy Data
We o er a simple paradigm for tting models, parametric and non-parametric, to noisy data, which resolves some of the problems associated with classic MSE algorithms. This is done ...
Michael Werman, Daniel Keren