126 search results - page 15 / 26 » Large Scale Multiple Kernel Learning |
114
Voted
MICCAI
2010
Springer
14 years 10 months ago
2010
Springer
We address a novel problem domain in the analysis of optical coherence tomography (OCT) images: the diagnosis of multiple macular pathologies in retinal OCT images. The goal is to ...
102
Voted
IROS
2009
IEEE
15 years 7 months ago
2009
IEEE
Abstract— We consider the problem of robotic object detection of such objects as mugs, cups, and staplers in indoor environments. While object detection has made significant pro...
109
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ECAI
2010
Springer
15 years 1 months ago
2010
Springer
We investigate the problem of learning action effects in partially observable STRIPS planning domains. Our approach is based on a voted kernel perceptron learning model, where act...
128
Voted
WILF
2007
Springer
15 years 6 months ago
2007
Springer
Background: Quantitative analysis of differential protein expressions requires to align temporal elution measurements from liquid chromatography coupled to mass spectrometry (LC/M...
98
Voted
ICML
2007
IEEE
16 years 1 months ago
2007
IEEE
The core vector machine (CVM) is a recent approach for scaling up kernel methods based on the notion of minimum enclosing ball (MEB). Though conceptually simple, an efficient impl...