702 search results - page 31 / 141 » Learning Probabilistic Models of Relational Structure |
127
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IJCV
2000
15 years 8 days ago
2000
We describe how to model the appearance of a 3-D object using multiple views, learn such a model from training images, and use the model for object recognition. The model uses pro...
118
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CORR
2012
Springer
13 years 8 months ago
2012
Springer
We show that the log-likelihood of several probabilistic graphical models is Lipschitz continuous with respect to the p-norm of the parameters. We discuss several implications ...
EMMCVPR
2001
Springer
15 years 5 months ago
2001
Springer
Hidden Markov Models (HMMs) are an useful and widely utilized approach to the modeling of data sequences. One of the problems related to this technique is finding the optimal stru...
109
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MICCAI
2006
Springer
16 years 1 months ago
2006
Springer
Abstract. In medical imaging, finding landmarks that provide biologically meaningful correspondences is often a challenging and time-consuming manual task. In this paper we propose...
SDM
2007
SIAM
15 years 1 months ago
2007
SIAM
We study the joint feature selection problem when learning multiple related classification or regression tasks. By imposing an automatic relevance determination prior on the hypo...