Author:
Wu Kecai,Liu Xueliang,Shao Jie,Hong Richang,Yang Tao
Publisher
Springer International Publishing
Reference21 articles.
1. Chiang, J.L.: Knowledge-based principal component analysis for image fusion. Appl. Math. 8(1L), 223–230 (2014)
2. Elkan, C.: Using the triangle inequality to accelerate k-means. In: ICML, vol. 3, pp. 147–153 (2003)
3. Fernando, B., Tuytelaars, T.: Mining multiple queries for image retrieval: on-the-fly learning of an object-specific mid-level representation. In: Proceedings of the IEEE International Conference on Computer Vision, pp. 2544–2551 (2013)
4. Fu, Y., Cao, L., Guo, G., et al.: Multiple feature fusion by subspace learning. In: Proceedings of the 2008 International Conference on Content-Based Image and Video Retrieval, pp. 127–134. ACM (2008)
5. Lowe, D.G.: Distinctive image features from scale-invariant keypoints. Int. J. Comput. Vision 60(2), 91–110 (2004)
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