1601 search results - page 191 / 321 » Learning Gaussian processes from multiple tasks |
136
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CVPR
2007
IEEE
15 years 9 months ago
2007
IEEE
Generative model learning is one of the key problems in machine learning and computer vision. Currently the use of generative models is limited due to the difficulty in effective...
172
Voted
ICSE
2010
IEEE-ACM
15 years 5 months ago
2010
IEEE-ACM
The feature list of modern IDEs is steadily growing and mastering these tools becomes more and more demanding, especially for novice programmers. Despite their remarkable capabili...
138
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ICML
2010
IEEE
15 years 4 months ago
2010
IEEE
Restricted Boltzmann Machines (RBMs) are a type of probability model over the Boolean cube {-1, 1}n that have recently received much attention. We establish the intractability of ...
150
Voted
ICASSP
2011
IEEE
14 years 7 months ago
2011
IEEE
We consider the problem of resource allocation for a Direct Sequence Code Division Multiple Access (DS-CDMA) wireless visual sensor network (VSN). We use the Nash Bargaining Solut...
171
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ECCV
2010
Springer
15 years 8 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....