Discriminative BoW Framework for Mobile Landmark Recognition

This paper proposes a new soft bag-of-words (BoW) method for mobile landmark recognition based on discriminative learning of image patches. Conventional BoW methods often consider the patches/regions in the images as equally important for learning. Amongst the few existing works that consider the di...

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Veröffentlicht in:	IEEE transactions on cybernetics 2014-05, Vol.44 (5), p.695-706
Hauptverfasser:	Chen, Tao, Yap, Kim-Hui
Format:	Artikel
Sprache:	eng
Schlagworte:	Bag-of-words (BoW) discriminative learning Fuzzy logic fuzzy support vector machine Histograms Landmarks Learning mobile landmark recognition Recognition Trains Vector quantization
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