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225
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PAMI
2011
15 years 1 months ago
2011
—Inferring latent structures from observations helps to model and possibly also understand underlying data generating processes. A rich class of latent structures are the latent ...
177
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ICCV
2009
IEEE
16 years 11 months ago
2009
IEEE
Random Forests (RFs) have become commonplace
in many computer vision applications. Their
popularity is mainly driven by their high computational
efficiency during both training ...
161
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CVPR
2005
IEEE
16 years 8 months ago
2005
IEEE
Recently, "epitomes" were introduced as patch-based probability models that are learned by compiling together a large number of examples of patches from input images. In...
184
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CVPR
2008
IEEE
16 years 8 months ago
2008
IEEE
In this paper, we propose a novel approach to model shape variations. It encodes sparsity, exploits geometric redundancy, and accounts for the different degrees of local variation...
206
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ECCV
2006
Springer
16 years 8 months ago
2006
Springer
Abstract. Fitting parameterized 3D shape and general reflectance models to 2D image data is challenging due to the high dimensionality of the problem. The proposed method combines ...