Finding Similar Clothes Based on Semantic Description for the Purpose of Fashion Recommender System
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Publisher
Springer Berlin Heidelberg
Link
http://link.springer.com/content/pdf/10.1007/978-3-662-49381-6_2
Reference7 articles.
1. Lecture Notes in Computer Science;H Chen,2012
2. Chen, Q., Li, J., Liu, Z., Lu, G., Bi, X., Wang, B.: Measuring clothing image similarity with bundled features. Int. J. Cloth. Sci. Technol. 25(2), 119–130 (2013)
3. Di, W., Wah, C., Bhardwaj, A., Piramuthu, R., Sundaresan, N.: Style finder: Fine-grained clothing style detection and retrieval. In: 2013 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), pp. 8–13. IEEE (2013)
4. Finnie, G., Sun, Z.: Similarity and metrics in case-based reasoning. Int. J. Intell. Syst. 17(3), 273–287 (2002)
5. Liao, T.W., Zhang, Z., Mount, C.R.: Similarity measures for retrieval in case-based reasoning systems. Appl. Artif. Intell. 12(4), 267–288 (1998)
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