An Overview of Deep-Structured Learning for Information Processing

By Li Deng. 2011

56 citations recorded by the source corpus.

How researchers see this paper

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

1. Min-Joo Kang
2. Je-Won Kang
3. Dong Yu
4. Li Deng
5. Jinyu Li
6. Yoshua Bengio
7. Frank Torsten Bernd Seide
8. Abdel-rahman Mohamed

Citations in the corpus

• Deep Learning: Methods and Applications (2014, background): “During the past several years, the techniques developed from deep learning research have already been impacting a wide range of signal and information processing work within the traditional and the new, widened scopes including key aspects of machine learning and artificial intelligence; see overvie”
• A tutorial survey of architectures, algorithms, and applications for deep learning (2014, background): “This paper expands my recent overview material on the same topic as presented in the plenary overview session of APSIPA-ASC2011 as well as the tutorial material presented in the same conference (Deng, 2011).”
• Intrusion Detection System Using Deep Neural Network for In-Vehicle Network Security (2016, background): “The architecture can be categorized into two types, i.e ., a discriminative deep architecture and a generative deep architecture, depending on how the architectures are exploited [47].”