157 search results - page 19 / 32 » Posterior Regularization for Structured Latent Variable Mode... |
130
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ESOP
2011
Springer
14 years 3 months ago
2011
Springer
Abstract. The Bayesian approach to machine learning amounts to inferring posterior distributions of random variables from a probabilistic model of how the variables are related (th...
114
Voted
ICCV
2011
IEEE
13 years 11 months ago
2011
IEEE
Weakly supervised discovery of common visual structure in highly variable, cluttered images is a key problem in recognition. We address this problem using deformable part-based mo...
132
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CVPR
2009
IEEE
16 years 6 months ago
2009
IEEE
We present a new method for classification with structured
latent variables. Our model is formulated using the
max-margin formalism in the discriminative learning literature.
We...
125
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CVIU
2011
14 years 3 months ago
2011
In this paper, we aim to reconstruct free-form 3D models from only one or few silhouettes by learning the prior knowledge of a specific class of objects. Instead of heuristically...
114
Voted
ICA
2010
Springer
15 years 22 days ago
2010
Springer
We study a sparse coding learning algorithm that allows for a simultaneous learning of the data sparseness and the basis functions. The algorithm is derived based on a generative m...