Understanding Blooming Human Groups in Social Networks

By Richang Hong, Zhenzhen Hu, Luoqi Liu, Meng Wang, Shuicheng Yan, Qi Tian. 2015

29 citations recorded by the source corpus.

Subfields: 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 Computer Vision and Pattern Recognition

1. Tat-seng Chua
2. Xiangnan He
3. Hanwang Zhang
4. Bernt Schiele
5. Liqiang Nie
6. Qianru Sun
7. Luc Van Gool
8. Trevor Darrell

Citations in the corpus

• Neural Collaborative Filtering (2017, background): “The neural network has been proven to be capable of approximating any continuous function [17], and more recently deep neural networks (DNNs) have been found to be effective in several domains, ranging from computer vision, speech recognition, to text processing [5, 10, 15, 47].”
• A Domain Based Approach to Social Relation Recognition (2017, background): “Some research focus on urban tribes in daily life [18], social categories defined by Wikipedia [19, 20], and popular groups such as “Loli”, “Syota” and “Goddess” which are mostly derived from social networks [21].”