A constrained latent variable model

Abstract

Latent variable models provide valuable compact representations for learning and inference in many computer vision tasks. However, most existing models cannot directly encode prior knowledge about the specific problem at hand. In this paper, we introduce a constrained latent variable model whose generated output inherently accounts for such knowledge. To… (More)
DOI: 10.1109/CVPR.2012.6247934

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