146 search results - page 24 / 30 » Learning to rank with multiple objective functions |
111
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EMMCVPR
2007
Springer
15 years 5 months ago
2007
Springer
Recognizing humans, estimating their pose and segmenting their body parts are key to high-level image understanding. Because humans are highly articulated, the range of deformation...
136
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CVPR
2011
IEEE
14 years 3 months ago
2011
IEEE
We propose a novel nonlinear, probabilistic and variational method for adding shape information to level setbased segmentation and tracking. Unlike previous work, we represent sha...
106
Voted
WSDM
2009
ACM
15 years 6 months ago
2009
ACM
The ranking function used by search engines to order results is learned from labeled training data. Each training point is a (query, URL) pair that is labeled by a human judge who...
132
Voted
ECCV
2010
Springer
15 years 5 months ago
2010
Springer
Many learning tasks for computer vision problems can be described by multiple views or multiple features. These views can be exploited in order to learn from unlabeled data, a.k.a....
109
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NIPS
2000
15 years 29 days ago
2000
It has long been known that lateral inhibition in neural networks can lead to a winner-take-all competition, so that only a single neuron is active at a steady state. Here we show...