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» Learning from Multiple Annotators with Gaussian Processes
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BMCBI
2010
182views more  BMCBI 2010»
14 years 12 months ago
L2-norm multiple kernel learning and its application to biomedical data fusion
Background: This paper introduces the notion of optimizing different norms in the dual problem of support vector machines with multiple kernels. The selection of norms yields diff...
Shi Yu, Tillmann Falck, Anneleen Daemen, Lé...
ATAL
2009
Springer
15 years 6 months ago
Solving multiagent assignment Markov decision processes
We consider the setting of multiple collaborative agents trying to complete a set of tasks as assigned by a centralized controller. We propose a scalable method called“Assignmen...
Scott Proper, Prasad Tadepalli
FGR
2004
IEEE
167views Biometrics» more  FGR 2004»
15 years 3 months ago
Adaptive Learning of an Accurate Skin-Color Model
Due to variations of lighting conditions, camera hardware settings, and the range of skin coloration among human beings, a pre-defined skin-color model cannot accurately capture t...
Qiang Zhu, Kwang-Ting Cheng, Ching-Tung Wu, Yi-Leh...
CVPR
2008
IEEE
15 years 12 months ago
Real-Time Face Pose Estimation from Single Range Images
We present a real-time algorithm to estimate the 3D pose of a previously unseen face from a single range im- age. Based on a novel shape signature to identify noses in range ima...
Michael D. Breitenstein, Daniel Küttel, Thiba...
CVPR
2007
IEEE
16 years 1 months ago
Learning Color Names from Real-World Images
Within a computer vision context color naming is the action of assigning linguistic color labels to image pixels. In general, research on color naming applies the following paradi...
Joost van de Weijer, Cordelia Schmid, Jakob J. Ver...