|
|
|
|
LEADER |
01000naa a22002652 4500 |
001 |
NLM198177704 |
003 |
DE-627 |
005 |
20231223212150.0 |
007 |
cr uuu---uuuuu |
008 |
231223s2010 xx |||||o 00| ||eng c |
024 |
7 |
|
|a 10.1109/TPAMI.2010.106
|2 doi
|
028 |
5 |
2 |
|a pubmed24n0661.xml
|
035 |
|
|
|a (DE-627)NLM198177704
|
035 |
|
|
|a (NLM)20479494
|
040 |
|
|
|a DE-627
|b ger
|c DE-627
|e rakwb
|
041 |
|
|
|a eng
|
100 |
1 |
|
|a Sznitman, Raphael
|e verfasserin
|4 aut
|
245 |
1 |
0 |
|a Active testing for face detection and localization
|
264 |
|
1 |
|c 2010
|
336 |
|
|
|a Text
|b txt
|2 rdacontent
|
337 |
|
|
|a ƒaComputermedien
|b c
|2 rdamedia
|
338 |
|
|
|a ƒa Online-Ressource
|b cr
|2 rdacarrier
|
500 |
|
|
|a Date Completed 29.11.2010
|
500 |
|
|
|a Date Revised 30.08.2010
|
500 |
|
|
|a published: Print
|
500 |
|
|
|a Citation Status MEDLINE
|
520 |
|
|
|a We provide a novel search technique which uses a hierarchical model and a mutual information gain heuristic to efficiently prune the search space when localizing faces in images. We show exponential gains in computation over traditional sliding window approaches, while keeping similar performance levels
|
650 |
|
4 |
|a Journal Article
|
650 |
|
4 |
|a Research Support, N.I.H., Extramural
|
650 |
|
4 |
|a Research Support, Non-U.S. Gov't
|
700 |
1 |
|
|a Jedynak, Bruno
|e verfasserin
|4 aut
|
773 |
0 |
8 |
|i Enthalten in
|t IEEE transactions on pattern analysis and machine intelligence
|d 1979
|g 32(2010), 10 vom: 17. Okt., Seite 1914-20
|w (DE-627)NLM098212257
|x 1939-3539
|7 nnns
|
773 |
1 |
8 |
|g volume:32
|g year:2010
|g number:10
|g day:17
|g month:10
|g pages:1914-20
|
856 |
4 |
0 |
|u http://dx.doi.org/10.1109/TPAMI.2010.106
|3 Volltext
|
912 |
|
|
|a GBV_USEFLAG_A
|
912 |
|
|
|a SYSFLAG_A
|
912 |
|
|
|a GBV_NLM
|
912 |
|
|
|a GBV_ILN_350
|
951 |
|
|
|a AR
|
952 |
|
|
|d 32
|j 2010
|e 10
|b 17
|c 10
|h 1914-20
|