91 search results - page 12 / 19 » Bayesian learning of joint distributions of objects |
195
Voted
KDD
2009
ACM
16 years 7 months ago
2009
ACM
Learning probabilistic graphical models from high-dimensional datasets is a computationally challenging task. In many interesting applications, the domain dimensionality is such a...
219
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ICML
2005
IEEE
16 years 7 months ago
2005
IEEE
We introduce a Bayesian model, BayesANIL, that is capable of estimating uncertainties associated with the labeling process. Given a labeled or partially labeled training corpus of...
230
Voted
AMDO
2006
Springer
15 years 10 months ago
2006
Springer
Abstract. We propose a hierarchical process for inferring the 3D pose of a person from monocular images. First we infer a learned view-based 2D body model from a single image using...
272
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CVPR
2012
IEEE
13 years 9 months ago
2012
IEEE
ImageNet is a large-scale database of object classes with millions of images. Unfortunately only a small fraction of them is manually annotated with bounding-boxes. This prevents ...
206
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CVPR
2008
IEEE
16 years 8 months ago
2008
IEEE
Recently, a novel Log-Euclidean Riemannian metric [28] is proposed for statistics on symmetric positive definite (SPD) matrices. Under this metric, distances and Riemannian means ...