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  3D Object Recognition Using Unsupervised Feature Extraction

Intrator, N., Gold, J., Bülthoff, H., & Edelman, S. (1992). 3D Object Recognition Using Unsupervised Feature Extraction. In J. Moody, S. Hanson, & R. Lippmann (Eds.), Advances in Neural Information Processing Systems 4 (pp. 368-377). San Mateo, CA, USA: Kaufmann.

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Item Permalink: https://hdl.handle.net/11858/00-001M-0000-0013-EDF4-A Version Permalink: https://hdl.handle.net/21.11116/0000-0006-0FE0-D
Genre: Conference Paper

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 Creators:
Intrator, N, Author
Gold, JI, Author
Bülthoff, HH1, Author           
Edelman, S, Author           
Affiliations:
1External Organizations, ou_persistent22              

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 Abstract: Intrator (1990) proposed a feature extraction method that is related to recent statistical theory (Huber, 1985; Friedman, 1987) and is based on a biologically motivated model of neuronal plasticity (Bienenstock et al., 1982). This method has been recently applied to feature extraction in the context of recognizing 3D objects from single 2D views (Intrator and Gold, 1991). Here we describe experiments designed to analyze the nature of the extracted features, and their relevance to the theory and psychophysics of object recognition.

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 Dates: 1992-04
 Publication Status: Issued
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: BibTex Citekey: 695
 Degree: -

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Title: Fifth Conference on Neural Information Processing Systems: Natural and Synthetic (NIPS 1991)
Place of Event: Denver, CO, USA
Start-/End Date: 1991-12-02 - 1991-12-05

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Title: Advances in Neural Information Processing Systems 4
Source Genre: Proceedings
 Creator(s):
Moody, JE, Editor
Hanson, SJ, Editor
Lippmann, RP, Editor
Affiliations:
-
Publ. Info: San Mateo, CA, USA : Kaufmann
Pages: 1187 Volume / Issue: - Sequence Number: - Start / End Page: 368 - 377 Identifier: ISBN: 1-558-60222-4