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ICCV
1998
IEEE
14 years 12 months ago
Visual Motion Estimation and Prediction: A Probabilistic Network Model for Temporal Coherence
We develop a theory for the temporal integration of visual motion motivated by psychophysical experiments. The theory proposes that input data are temporally grouped and used to p...
Alan L. Yuille, Pierre-Yves Burgi, Norberto M. Grz...
CANDC
2009
ACM
14 years 4 months ago
Predicting successful completion of online collaborative animation projects
Online creative collaboration projects are started every day, but many fail to produce new artifacts of value. In this poster, we address the question of why some of these project...
Kurt Luther, Kevin Ziegler, Kelly E. Caine, Amy Br...
GECCO
2007
Springer
186views Optimization» more  GECCO 2007»
14 years 4 months ago
A multi-objective approach for the prediction of loan defaults
Credit institutions are seldom faced with problems dealing with single objectives. Often, decisions involving optimizing two or more competing goals simultaneously need to be made...
Oluwarotimi Odeh, Praveen Koduru, Sanjoy Das, Alle...
GECCO
2005
Springer
155views Optimization» more  GECCO 2005»
14 years 3 months ago
A pareto archive evolutionary strategy based radial basis function neural network training algorithm for failure rate prediction
This paper outlines a radial basis function neural network approach to predict the failures in overhead distribution lines of power delivery systems. The RBF networks are trained ...
Grant Cochenour, Jerad Simon, Sanjoy Das, Anil Pah...
GECCO
2005
Springer
140views Optimization» more  GECCO 2005»
14 years 3 months ago
Stock prediction based on financial correlation
In this paper, we propose a neuro-genetic stock prediction system based on financial correlation between companies. A number of input variables are produced from the relatively h...
Yung-Keun Kwon, Sung-Soon Choi, Byung Ro Moon