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GECCO
2006
Springer
156views Optimization» more  GECCO 2006»
13 years 11 months ago
Improving GP classifier generalization using a cluster separation metric
Genetic Programming offers freedom in the definition of the cost function that is unparalleled among supervised learning algorithms. However, this freedom goes largely unexploited...
Ashley George, Malcolm I. Heywood
ML
2006
ACM
109views Machine Learning» more  ML 2006»
13 years 7 months ago
Cost curves: An improved method for visualizing classifier performance
Abstract This paper introduces cost curves, a graphical technique for visualizing the performance (error rate or expected cost) of 2-class classifiers over the full range of possib...
Chris Drummond, Robert C. Holte
ISBI
2008
IEEE
14 years 8 months ago
3D general lesion segmentation in CT
This paper describes a general purpose algorithm to segment any kind of lesions in CT images. The algorithm expects a click or a stroke inside the lesion from the user and learns ...
Marie-Pierre Jolly, Leo Grady
ECCV
2006
Springer
14 years 9 months ago
Statistical Priors for Efficient Combinatorial Optimization Via Graph Cuts
Abstract. Bayesian inference provides a powerful framework to optimally integrate statistically learned prior knowledge into numerous computer vision algorithms. While the Bayesian...
Daniel Cremers, Leo Grady
CORR
2007
Springer
88views Education» more  CORR 2007»
13 years 7 months ago
Minimum cost distributed source coding over a network
— This work considers the problem of transmitting multiple compressible sources over a network with minimum cost. The problem is complicated by the fact that the description of t...
Aditya Ramamoorthy