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» Random subspace method for multivariate feature selection
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DAGM
2010
Springer
13 years 8 months ago
Learning of Optimal Illumination for Material Classification
We present a method to classify materials in illumination series data. An illumination series is acquired using a device which is capable to generate arbitrary lighting environment...
Markus Jehle, Christoph Sommer, Bernd Jähne
BMVC
2010
13 years 6 months ago
Deterministic Sample Consensus with Multiple Match Hypotheses
RANSAC (Random Sample Consensus) is a popular and effective technique for estimating model parameters in the presence of outliers. Efficient algorithms are necessary for both fram...
Paul McIlroy, Edward Rosten, Simon Taylor, Tom Dru...
VIS
2009
IEEE
399views Visualization» more  VIS 2009»
14 years 9 months ago
Visual Human+Machine Learning
In this paper we describe a novel method to integrate interactive visual analysis and machine learning to support the insight generation of the user. The suggested approach combine...
Raphael Fuchs, Jürgen Waser, Meister Eduard GrÃ...
MLDM
2005
Springer
14 years 2 months ago
Supervised Evaluation of Dataset Partitions: Advantages and Practice
In the context of large databases, data preparation takes a greater importance : instances and explanatory attributes have to be carefully selected. In supervised learning, instanc...
Sylvain Ferrandiz, Marc Boullé
ASE
2010
86views more  ASE 2010»
13 years 8 months ago
Stable rankings for different effort models
There exists a large and growing number of proposed estimation methods but little conclusive evidence ranking one method over another. Prior effort estimation studies suffered fro...
Tim Menzies, Omid Jalali, Jairus Hihn, Daniel Bake...