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DAGM
2010
Springer
15 years 7 months ago
Semi-supervised Learning of Edge Filters for Volumetric Image Segmentation
Abstract. For every segmentation task, prior knowledge about the object that shall be segmented has to be incorporated. This is typically performed either automatically by using la...
Margret Keuper, Robert Bensch, Karsten Voigt, Alex...
CORR
2006
Springer
143views Education» more  CORR 2006»
15 years 7 months ago
Revealing the Autonomous System Taxonomy: The Machine Learning Approach
Although the Internet AS-level topology has been extensively studied over the past few years, little is known about the details of the AS taxonomy. An AS "node" can repre...
Xenofontas A. Dimitropoulos, Dmitri V. Krioukov, G...
INFSOF
2008
90views more  INFSOF 2008»
15 years 7 months ago
JADE: A software framework for developing multi-agent applications. Lessons learned
Since a number of years agent technology is considered one of the most innovative technologies for the development of distributed software systems. While not yet a mainstream appr...
Fabio Bellifemine, Giovanni Caire, Agostino Poggi,...
DSP
2007
15 years 7 months ago
Blind separation of nonlinear mixtures by variational Bayesian learning
Blind separation of sources from nonlinear mixtures is a challenging and often ill-posed problem. We present three methods for solving this problem: an improved nonlinear factor a...
Antti Honkela, Harri Valpola, Alexander Ilin, Juha...
APIN
2005
107views more  APIN 2005»
15 years 7 months ago
Multi-Instance Learning Based Web Mining
In multi-instance learning, the training set comprises labeled bags that are composed of unlabeled instances, and the task is to predict the labels of unseen bags. In this paper, ...
Zhi-Hua Zhou, Kai Jiang, Ming Li