The Informed Sampler: A Discriminative Approach to Bayesian Inference in 
Generative Computer Vision Models

Jampani, Varun; Nowozin, Sebastian; Loper, Matthew; Gehler, Peter

doi:10.1016/j.cviu.2015.03.002

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The Informed Sampler: A Discriminative Approach to Bayesian Inference in Generative Computer Vision Models

Jampani, V., Nowozin, S., Loper, M., & Gehler, P. (2015). The Informed Sampler: A Discriminative Approach to Bayesian Inference in Generative Computer Vision Models. Computer Vision and Image Understanding, 136, 32-44. doi:10.1016/j.cviu.2015.03.002.

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Item Permalink: https://hdl.handle.net/11858/00-001M-0000-002A-2110-2 Version Permalink: https://hdl.handle.net/11858/00-001M-0000-002A-2111-F

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Creators:
Jampani, Varun¹, Author
Nowozin, Sebastian², Author
Loper, Matthew¹, Author
Gehler, Peter¹, Author

Affiliations:
1Dept. Perceiving Systems, Max Planck Institute for Intelligent Systems, Max Planck Society, ou_1497642
2External Organizations, ou_persistent22

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Dates: Published Online: 2015-07

Publication Status: Published online

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Identifiers: BibTex Citekey: jampani15_cviu
DOI: 10.1016/j.cviu.2015.03.002

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Title: Computer Vision and Image Understanding

Source Genre: Journal

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Publ. Info: Amsterdam, NL : Elsevier

Pages: - Volume / Issue: 136 Sequence Number: - Start / End Page: 32 - 44 Identifier: ISSN: 1077-3142