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» Algorithms for Large, Sparse Network Alignment Problems
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IJCAI
1989
15 years 3 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
13 years 4 months 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
114
Voted
NCA
2005
IEEE
15 years 7 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...
114
Voted
EMMCVPR
2003
Springer
15 years 7 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
15 years 3 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