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» Algorithms for Large, Sparse Network Alignment Problems
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IJCAI
1989
13 years 11 months ago
Training Feedforward Neural Networks Using Genetic Algorithms
Multilayered feedforward neural networks possess a number of properties which make them particularly suited to complex pattern classification problems. However, their application ...
David J. Montana, Lawrence Davis
IJCV
2012
12 years 15 days ago
Globally Optimal Estimation of Nonrigid Image Distortion
Abstract Image alignment in the presence of non-rigid distortions is a challenging task. Typically, this involves estimating the parameters of a dense deformation field that warps...
Yuandong Tian, Srinivasa G. Narasimhan
NCA
2005
IEEE
14 years 3 months ago
Decentralized Schemes for Size Estimation in Large and Dynamic Groups
Large-scale and dynamically changing distributed systems such as the Grid, peer-to-peer overlays, etc., need to collect several kinds of global statistics in a decentralized manne...
Dionysios Kostoulas, Dimitrios Psaltoulis, Indrani...
EMMCVPR
2003
Springer
14 years 3 months ago
Curve Matching Using the Fast Marching Method
Common techniques for curve alignment find a solution in the form of a shortest network path by means of dynamic programming. In this paper we present an approach that employs Set...
Max Frenkel, Ronen Basri
UAI
1998
13 years 11 months ago
The Bayesian Structural EM Algorithm
In recent years there has been a flurry of works on learning Bayesian networks from data. One of the hard problems in this area is how to effectively learn the structure of a beli...
Nir Friedman