A constrained latent variable model


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


12 Figures and Tables


Citations per Year

52 Citations

Semantic Scholar estimates that this publication has 52 citations based on the available data.

See our FAQ for additional information.

Slides referencing similar topics