Author:
Silva Jesús,Varela Noel,Lezama Omar Bonerge Pineda
Reference21 articles.
1. Banuchitra, S., Kungumaraj, K.: A comprehensive survey of content based image retrieval techniques. Int. J. Eng. Comput. Sci. (IJECS), 5 (2016). https://doi.org/10.18535/ijecs/v5i8.26, https://www.ijecs.in
2. Szegedy, C., Vanhoucke, V., Ioffe, S., Shlens, J., Wojna, Z.: Rethinking the inception architecture for computer vision. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 2818–2826 (2016)
3. Tunga, S., Jayadevappa, D., Gururaj, C.: A comparative study of content-based image retrieval trends and approaches. Int. J. Image Process. (IJIP) 9(3), 127 (2015)
4. Tzelepi, M., Tefas, A.: Deep convolutional learning for content-based image retrieval. Neuro-Computing 275, 2467–2478 (2018)
5. Chen, L., Zhang, Y., Song, Z.L., Miao, Z.: Automatic web services classification based on rough set theory. J. Central South Univ. 20, 2708–2714 (2013)