Cross-Modality Submodular Dictionary Learning for Information Retrieval

By Fan Zhu, Ling Shao, Mengyang Yu. 2014

54 citations recorded by the source corpus.

Subfields: Computational Mechanics, Computer Vision and Pattern Recognition

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computational Mechanics

1. Liang Wang
2. Chunhong Pan
3. Shiming Xiang
4. Kaiye Wang
5. Shengcai Liao

In Computer Vision and Pattern Recognition

1. Yuxin Peng
2. Liang Wang
3. Shu Wu
4. Qiyue Yin
5. Kaiye Wang
6. Dacheng Tao
7. Shiming Xiang
8. Chunhong Pan

Citations in the corpus

• An Overview of Cross-Media Retrieval: Concepts, Methodologies, Benchmarks, and Challenges (2017, background): “[62] propose cross-modality submodular dictionary learning (CmSDL), which learns a”
• Cross-Modal Similarity Learning: A Low Rank Bilinear Formulation (2014, methodology): “The proposed formulation is introduced and derived to find the solution detailed in the next part.”
• A Comprehensive Survey on Cross-modal Retrieval (2016, methodology): “Zhu et al. [20] propose a greedy dictionary construction method for the cross-modal retrieval problem.”