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CVPR
2001
IEEE
16 years 6 months ago
Learning Models for Object Recognition
We consider learning models for object recognition from examples. Our method is motivated by systems that use the Hausdorff distance as a shape comparison measure. Typically an ob...
Pedro F. Felzenszwalb
CVPR
2007
IEEE
16 years 6 months ago
A Bio-inspired Learning Approach for the Classification of Risk Zones in a Smart Space
Learning from experience is a basic task of human brain that is not yet fulfilled satisfactorily by computers. Therefore, in recent years to cope with this issue, bio-inspired app...
Alessio Dore, Matteo Pinasco, Carlo S. Regazzoni
ICML
2008
IEEE
16 years 5 months ago
Localized multiple kernel learning
Recently, instead of selecting a single kernel, multiple kernel learning (MKL) has been proposed which uses a convex combination of kernels, where the weight of each kernel is opt...
Ethem Alpaydin, Mehmet Gönen
ICML
2004
IEEE
16 years 5 months ago
Co-EM support vector learning
Multi-view algorithms, such as co-training and co-EM, utilize unlabeled data when the available attributes can be split into independent and compatible subsets. Co-EM outperforms ...
Ulf Brefeld, Tobias Scheffer
ISBI
2008
IEEE
16 years 5 months ago
A learning based hierarchical model for vessel segmentation
In this paper we present a learning based method for vessel segmentation in angiographic videos. Vessel Segmentation is an important task in medical imaging and has been investiga...
Richard Socher, Adrian Barbu, Dorin Comaniciu