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  A kernel approach for vector quantization with guaranteed distortion bounds

Tipping, M., & Schölkopf, B. (2001). A kernel approach for vector quantization with guaranteed distortion bounds. In Artificial Intelligence and Statistics (pp. 129-129).

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Item Permalink: https://hdl.handle.net/11858/00-001M-0000-0013-E362-D Version Permalink: https://hdl.handle.net/11858/00-001M-0000-0013-E363-B
Genre: Conference Paper

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Tipping, M, Author
Schölkopf, B1, Author           
Jaakkola, T., Editor
Richardson, T., Editor
Affiliations:
1Department Empirical Inference, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497795              

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 Dates: 2001
 Publication Status: Issued
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 Identifiers: BibTex Citekey: 1848
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Title: Artificial Intelligence and Statistics
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Title: Artificial Intelligence and Statistics
Source Genre: Proceedings
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Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 129 - 129 Identifier: -