Class-Specific Hough Forests for Object Detection

Gall, J.; Lempitsky, V.

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Class-Specific Hough Forests for Object Detection

Gall, J., & Lempitsky, V. (2013). Class-Specific Hough Forests for Object Detection. In A. Criminisi, & J. Shotton (Eds.), Decision Forests for Computer Vision and Medical Image Analysis (pp. 143-157). London: Springer.

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Item Permalink: https://hdl.handle.net/11858/00-001M-0000-0015-375D-4 Version Permalink: https://hdl.handle.net/11858/00-001M-0000-0018-7AA1-4

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Creators:
Gall, J.¹, Author
Lempitsky, V., Author

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1Dept. Perceiving Systems, Max Planck Institute for Intelligent Systems, Max Planck Society, ou_1497642

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Dates: Date issued: 2013

Publication Status: Issued

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Identifiers: URI: http://link.springer.com/chapter/10.1007/978-1-4471-4929-3_11#page-1

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Title: Decision Forests for Computer Vision and Medical Image Analysis

Source Genre: Book

Creator(s):
Criminisi, A., Editor
Shotton, J., Editor

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-

Publ. Info: London : Springer

Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 143 - 157 Identifier: DOI: 10.1007/978-1-4471-4929-3
ISBN: 978-1-4471-4928-6
ISBN: 978-1-4471-4929-3

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Title: Advances in Computer Vision and Pattern Recognition

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