1CSURKA G, DANCE C R, FAN L, et al. Visual categorization with bags of keypoints [ EB/OL]. [2015-11-06]. http://www, cs. haifa, ac. il/0 rita/vision_lab_course/2007/Project3_files/csurka_ dance bags_keypoints, pdf.
2WU L, HOI S C H, YU N. Semantics-preserving bag-of-words mod- els and applications [ J]. IEEE Transactions on Image Processing, 2010, 19(7) : 1908 - 1920.
3UIJLINGS J R R, SMEULDERS A W M, SCHA R J H. Real-time visual concept classification [ J]. IEEE Transactions on Multimedia, 2010, 12(7): 665-681.
4ZHENG Z, ZHANG Y, YAN L. Global and local exploitation for saliency using bag-of-words [ J]. IET Computer Vision, 2014, 8 (4) : 299 - 304.
5YU J, JEON M, PEDRYCZ W. Weighted feature trajectories and concatenated bag-of-features for action recognition [ J]. Neurocom- puting, 2014, 131:200-207.
6ANTHIMOPOULOS M M, GIANOLA L, SCARNATO L, et al. A food recognition system for diabetic patients based on an optimized bag-of-features model [ J]. IEEE Journal of Biomedical and Health Informatics, 2014, 18(4) : 1261 - 1271.
7SHEN L, LIN J, WU S, et al. HEp-2 image classification using in- tensity order pooling based features and bag of words [ J]. Pattern Recognition, 2014, 47(7) : 2419 - 2427.
8ZHU C, BICHOT C-E, CHEN L. Visual object recognition using daisy descriptor [ C]//ICME '11 : Proceedings of the 2011 IEEE In- ternational Conference on Multimedia and Expo. Washington, DC: IEEE Computer Society, 2011:1 -6.
9BAY H, TUYTELAARS T, VAN GOOL L. SURF: speeded up ro-bust features [ C]// ECCV '06: Proceedings of the 9th European Conference on Computer Vision -- Volume Part I. Berlin: Springer-Verlag, 2006:404-417.
10WANG M, ZHANG C, SONG Y. Extraction of image semantic features with spatial-range mean shift clustering algorithm [ C]//Proceedings of the 2010 IEEE 10th Intemational Conference on Signal Processing. Piscataway, NJ: IEEE, 2010:906-909.
