Large-margin Learning of Compact Binary Image Encodings

The use of high-dimensional features has become a normal practice in many computer vision applications. The large dimension of these features is a limiting factor upon the number of data points which may be effectively stored and processed, however. We address this problem by developing a novel appr...

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Bibliographische Detailangaben
Veröffentlicht in:IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. - 1992. - 23(2014), 9 vom: 15. Sept., Seite 4041-4054
1. Verfasser: Paisitkriangkrai, Sakrapee (VerfasserIn)
Weitere Verfasser: Shen, Chunhua, Van den Hengel, Anton
Format: Online-Aufsatz
Sprache:English
Veröffentlicht: 2014
Zugriff auf das übergeordnete Werk:IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
Schlagworte:Journal Article