A comprehensive study on learning to rank for content-based image retrieval

Author:

Li Yangxi,Zhou Chao,Geng Bo,Xu Chao,Liu Hong

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Signal Processing,Software,Control and Systems Engineering

Reference38 articles.

1. LSA-based multi-instance learning algorithm for image retrieval;Li;Signal Processing,2011

2. Local aggregation function learning based on support vector machines;Zhang;Signal Processing,2009

3. J. Philbin, O. Chum, M. Isard, J. Sivic, A. Zisserman, Object retrieval with large vocabularies and fast spatial matching, in: IEEE Conference on Computer Vision and Pattern Recognition, 2007 (CVPR'07), IEEE, 2007, pp. 1–8.

4. Complex object correspondence construction in two-dimensional animation;Yu;IEEE Transactions on Image Processing,2012

5. Z. Wu, Q. Ke, M. Isard, J. Sun, Bundling features for large scale partial-duplicate web image search, in: IEEE Conference on Computer Vision and Pattern Recognition, 2009 (CVPR 2009), IEEE, 2009, pp. 25–32.

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3. Content-Based Image Retrieval in Medical Domain: A Review;Journal of Physics: Conference Series;2018-06

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5. A New Method for Medical Image Retrieval Based on Markov Random Field;Communications in Computer and Information Science;2017

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