Improvising the performance of image-based recommendation system using convolution neural networks and deep learning

Author:

Sulthana A. Razia,Gupta Maulika,Subramanian Shruthi,Mirza Sakina

Publisher

Springer Science and Business Media LLC

Subject

Geometry and Topology,Theoretical Computer Science,Software

Reference24 articles.

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2. Babenko A, Slesarev A, Chigorin A, Lempitsky V (2014) Neural codes for image retrieval. In: European conference on computer vision. Springer, Cham, Sept 2014, pp 584–599

3. Deng J, Dong W, Socher R, Li LJ, Li K, Fei-Fei L (2009). Imagenet: a large-scale hierarchical image database. In: 2009 IEEE conference on computer vision and pattern recognition, 2009 June. IEEE, pp. 248–255

4. Donahue J, Jia Y, Vinyals O, Hoffman J, Zhang N, Tzeng E, Darrell T (2014). Decaf: A deep convolutional activation feature for generic visual recognition. In: International conference on machine learning, Jan 2014, pp 647–655

5. He K, Zhang X, Ren S, Sun J (2016) Deep residual learning for image recognition. In: Proceedings of the IEEE conference on computer vision and pattern recognition, pp 770–778

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