A new SVM-based active feedback scheme for image retrieval

Author:

Wang Xiang-Yang,Yang Hong-Ying,Li Yong-Wei,Li Wei-Yi,Chen Jing-Wei

Funder

National Natural Science Foundation of China

Jiangsu Key Laboratory of Image and Video Understanding for Social Safety (Nanjing University of Science and Technology)

Zhejiang Key Laboratory for Signal Processing

Provincial Key Laboratory for Computer Information Processing Technology (Soochow University)

State Key Lab of CAD&CG

Liaoning Research Project for Institutions of Higher Education of China

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Artificial Intelligence,Control and Systems Engineering

Reference31 articles.

1. Brinker, K., 2003. Incorporating diversity in active learning with support vector machines. In: Proceedings of the 20th International Conference on Machine Learning (ICML), pp. 59–66.

2. Support vector machine with adaptive parameters in financial time series forecasting;Cao;IEEE Trans. Neural Netw.,2003

3. Image retrieval: ideas, influences, and trends of the new age;Datta;ACM Comput. Surv.,2008

4. Wavelet-based texture retrieval using generalised Gaussian density and Kullback–Leibler distance;Do;IEEE Trans. Image Process,2002

5. Active learning methods for interactive image retrieval;Gosselin;IEEE Trans. Image Process,2008

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