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|a (NLM)17063683
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|a DE-627
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|c DE-627
|e rakwb
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|a eng
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| 100 |
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|a Lafon, Stéphane
|e verfasserin
|4 aut
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|a Data fusion and multicue data matching by diffusion maps
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|c 2006
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|a Text
|b txt
|2 rdacontent
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|a ohne Hilfsmittel zu benutzen
|b n
|2 rdamedia
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|a Band
|b nc
|2 rdacarrier
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| 500 |
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|a Date Completed 28.11.2006
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|a Date Revised 26.10.2006
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|a published: Print
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|a Citation Status MEDLINE
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|a Data fusion and multicue data matching are fundamental tasks of high-dimensional data analysis. In this paper, we apply the recently introduced diffusion framework to address these tasks. Our contribution is three-fold: First, we present the Laplace-Beltrami approach for computing density invariant embeddings which are essential for integrating different sources of data. Second, we describe a refinement of the Nyström extension algorithm called "geometric harmonics." We also explain how to use this tool for data assimilation. Finally, we introduce a multicue data matching scheme based on nonlinear spectral graphs alignment. The effectiveness of the presented schemes is validated by applying it to the problems of lipreading and image sequence alignment
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|a Journal Article
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|a Keller, Yosi
|e verfasserin
|4 aut
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| 700 |
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|a Coifman, Ronald R
|e verfasserin
|4 aut
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| 773 |
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|i Enthalten in
|t IEEE transactions on pattern analysis and machine intelligence
|d 1979
|g 28(2006), 11 vom: 27. Nov., Seite 1784-97
|w (DE-627)NLM098212257
|x 1939-3539
|7 nnns
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| 773 |
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|g volume:28
|g year:2006
|g number:11
|g day:27
|g month:11
|g pages:1784-97
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