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132
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ICML
2007
IEEE
16 years 4 months ago
Simple, robust, scalable semi-supervised learning via expectation regularization
Although semi-supervised learning has been an active area of research, its use in deployed applications is still relatively rare because the methods are often difficult to impleme...
Gideon S. Mann, Andrew McCallum
127
Voted
ICPR
2010
IEEE
15 years 10 months ago
Pose Estimation of Known Objects by Efficient Silhouette Matching
Pose estimation is essential for automated han- dling of objects. In many computer vision applications only the object silhouettes can be acquired reliably, because untextured or s...
Christian Reinbacher, Matthias Rüther, Horst Bisc...
100
Voted
ICPR
2008
IEEE
15 years 10 months ago
Regional motion patterns for the Left Ventricle function assessment
Regional scores (e.g. strain, perfusion) of the Left Ventricle (LV) functionality are playing an increasing role in the diagnosis of cardiac diseases. A main limitation is the lac...
Jaume Garcia-Barnes, Debora Gil, Francesc Carreras...
106
Voted
COMPSAC
2002
IEEE
15 years 8 months ago
A Typed Generic Process Model for Product Focused Process Improvement
The motivation behind the idea of product focused process improvement is to make a process improvement program address certain product quality features in an explicit manner. The P...
Manoranjan Satpathy, Rachel Harrison
140
Voted
CEC
2009
IEEE
15 years 8 months ago
Memory-enhanced Evolutionary Robotics: The Echo State Network Approach
— Interested in Evolutionary Robotics, this paper focuses on the acquisition and exploitation of memory skills. The targeted task is a well-studied benchmark problem, the Tolman ...
Cédric Hartland, Nicolas Bredeche, Mich&egr...