Local Subspace Classifiers: Linear and Nonlinear Approaches

Larlus, Diane; Cevikalp, Hakan; Douze, Matthijs; Jurie, Frédéric

doi:10.1109/MLSP.2007.4414282

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Local Subspace Classifiers: Linear and Nonlinear Approaches

Larlus, D., Cevikalp, H., Douze, M., & Jurie, F. (2007). Local Subspace Classifiers: Linear and Nonlinear Approaches. In 2007 IEEE Workshop on Machine Learning for Signal Processing (pp. 57-62). Piscataway, NJ: IEEE.

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Item Permalink: https://hdl.handle.net/11858/00-001M-0000-0023-FB56-3 Version Permalink: https://hdl.handle.net/11858/00-001M-0000-0026-C927-C

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Creators:
Larlus, Diane¹, Author
Cevikalp, Hakan¹, Author
Douze, Matthijs¹, Author
Jurie, Frédéric¹, Author

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1External Organizations, ou_persistent22

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Free keywords: affine hull, classification, digit recognition, local classifier,\u000A metric learning

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Dates: Date issued: 2007-08

Publication Status: Issued

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Identifiers: BibTex Citekey: CLDJ07
DOI: 10.1109/MLSP.2007.4414282

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Title: IEEE Workshop on Machine Learning for Signal Processing

Place of Event: Thessaloniki, Greece

Start-/End Date: 2007-08-27 - 2007-08-29

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Title: 2007 IEEE Workshop on Machine Learning for Signal Processing

Abbreviation : MLSP 2007

Source Genre: Proceedings

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Publ. Info: Piscataway, NJ : IEEE

Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 57 - 62 Identifier: ISBN: 978-1-4244-1565-6