Learning descriptive visual representation for image classification and annotation

This paper presents a novel semantic regularized matrix factorization method for learning descriptive visual bag-of-words (BOW) representation. Although very influential in image classification, the traditional visual BOW representation has one distinct drawback. That is, for efficiency purposes, th...

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Veröffentlicht in:Pattern recognition 2015-02, Vol.48 (2), p.498-508
Hauptverfasser: Lu, Zhiwu, Wang, Liwei
Format: Artikel
Sprache:eng
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