Deep Computation Model for Unsupervised Feature Learning on Big Data

By Qingchen Zhang, Laurence Tianruo Yang, Zhikui Chen. 2016

138 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Computational Mathematics, 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 Artificial Intelligence

1. Wenxiu Ding
2. Zheng Yan
3. Xuyang Jing
4. Laurence Tianruo Yang
5. Peng Li
6. Zhikui Chen
7. Qingchen Zhang
8. Ahmed M Abdelhadi

In Computer Vision and Pattern Recognition

1. Peng Li
2. Zheng Yan
3. Laurence Tianruo Yang
4. Zhikui Chen
5. Qingchen Zhang
6. Wenxiu Ding
7. Xuyang Jing

Citations in the corpus

• A survey on data fusion in internet of things: Towards secure and privacy-preserving fusion (2019, background): “Before providing a comprehensive discussion on data fusion in IoT, we first summarize the characteristics of IoT data highly related to data fusion as follows: 1) Big data: A large number of sensors keep monitoring/observing physical objects and generate large amounts of data [29, 30], which results”
• A survey on deep learning for big data (2018, background): “[85,86] presented a tensor deep learning model, called deep computation model, for heterogeneous data.”