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ICDM
2008
IEEE
109views Data Mining» more  ICDM 2008»
14 years 3 months ago
Learning by Propagability
In this paper, we present a novel feature extraction framework, called learning by propagability. The whole learning process is driven by the philosophy that the data labels and o...
Bingbing Ni, Shuicheng Yan, Ashraf A. Kassim, Loon...
IROS
2007
IEEE
156views Robotics» more  IROS 2007»
14 years 3 months ago
Learning maps in 3D using attitude and noisy vision sensors
— In this paper, we address the problem of learning 3D maps of the environment using a cheap sensor setup which consists of two standard web cams and a low cost inertial measurem...
Bastian Steder, Giorgio Grisetti, Slawomir Grzonka...
DAGM
2007
Springer
14 years 3 months ago
Semi-supervised Tumor Detection in Magnetic Resonance Spectroscopic Images Using Discriminative Random Fields
Magnetic resonance spectral images provide information on metabolic processes and can thus be used for in vivo tumor diagnosis. However, each single spectrum has to be checked manu...
L. Görlitz, Bjoern H. Menze, M.-A. Weber, B. ...
PLDI
2006
ACM
14 years 3 months ago
A global progressive register allocator
This paper describes a global progressive register allocator, a register allocator that uses an expressive model of the register allocation problem to quickly find a good allocat...
David Ryan Koes, Seth Copen Goldstein
GD
2005
Springer
14 years 2 months ago
A Mixed-Integer Program for Drawing High-Quality Metro Maps
In this paper we investigate the problem of drawing metro maps which is defined as follows. Given a planar graph G of maximum degree 8 with its embedding and vertex locations (e.g...
Martin Nöllenburg, Alexander Wolff