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231223s2007 xx ||||| 00| ||eng c |
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|a (NLM)17699927
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|a DE-627
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|e rakwb
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|a eng
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| 100 |
1 |
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|a Quattoni, Ariadna
|e verfasserin
|4 aut
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|a Hidden conditional random fields
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|c 2007
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| 336 |
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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 13.11.2007
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|a Date Revised 16.08.2007
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|a published: Print
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|a Citation Status MEDLINE
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|a We present a discriminative latent variable model for classification problems in structured domains where inputs can be represented by a graph of local observations. A hidden-state Conditional Random Field framework learns a set of latent variables conditioned on local features. Observations need not be independent and may overlap in space and time
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|a Journal Article
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|a Wang, Sybor
|e verfasserin
|4 aut
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|a Morency, Louis-Philippe
|e verfasserin
|4 aut
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|a Collins, Michael
|e verfasserin
|4 aut
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| 700 |
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|a Darrell, Trevor
|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 29(2007), 10 vom: 15. Okt., Seite 1848-53
|w (DE-627)NLM098212257
|x 1939-3539
|7 nnns
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| 773 |
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|g volume:29
|g year:2007
|g number:10
|g day:15
|g month:10
|g pages:1848-53
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|d 29
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