An Overview on Data Representation Learning: From Traditional Feature
Learning to Recent Deep Learning

An Overview on Data Representation Learning: From Traditional Feature Learning to Recent Deep Learning

25 November 2016

Junyu Dong

Papers citing "An Overview on Data Representation Learning: From Traditional Feature Learning to Recent Deep Learning"

15 / 15 papers shown

Title
Artificial Intelligence and Deep Learning Algorithms for Epigenetic Sequence Analysis: A Review for Epigeneticists and AI Experts Muhammad Tahir Mahboobeh Norouzi Shehroz S. Khan James Davie Soichiro Yamanaka A. Ashraf 35 1 0 01 Apr 2025
Machine Learning Analysis of Anomalous Diffusion Wenjie Cai Yi Hu X. Qu Hui Zhao Gongyi Wang Jing Li Zihan Huang 67 1 0 02 Dec 2024
Remote patient monitoring using artificial intelligence: Current state, applications, and challenges T. Shaik Xiaohui Tao Niall Higgins Lin Li R. Gururajan Xujuan Zhou U. Acharya 21 186 0 19 Jan 2023
Learning an Ensemble of Deep Fingerprint Representations Akash Godbole Karthik Nandakumar A. Jain OOD 12 2 0 02 Sep 2022
Controllable Data Generation by Deep Learning: A Review Shiyu Wang Yuanqi Du Xiaojie Guo Bo Pan Zhaohui Qin Liang Zhao 31 28 0 19 Jul 2022
Empirical Evaluation and Theoretical Analysis for Representation Learning: A Survey Kento Nozawa Issei Sato AI4TS 19 4 0 18 Apr 2022
Unsupervised Learning Architecture for Classifying the Transient Noise of Interferometric Gravitational-wave Detectors Yusuke Sakai Y. Itoh P. Jung K. Kokeyama C. Kozakai ... T. Uchiyama G. Ueshima T. Washimi Takahiro Yamamoto T. Yokozawa 19 12 0 19 Nov 2021
Active Learning in Robotics: A Review of Control Principles Annalisa T. Taylor Thomas A. Berrueta Todd D. Murphey 27 70 0 25 Jun 2021
Applications of Deep Learning Techniques for Automated Multiple Sclerosis Detection Using Magnetic Resonance Imaging: A Review A. Shoeibi Marjane Khodatars M. Jafari Parisa Moridian Mitra Rezaei ... Juan M Gorriz Jónathan Heras M. Panahiazar S. Nahavandi U. Acharya 24 125 0 11 May 2021
Expressive TTS Training with Frame and Style Reconstruction Loss Rui Liu Berrak Sisman Guanglai Gao Haizhou Li 24 73 0 04 Aug 2020
Privacy Adversarial Network: Representation Learning for Mobile Data Privacy Sicong Liu Junzhao Du Anshumali Shrivastava Lin Zhong 26 14 0 08 Jun 2020
Inverse Feature Learning: Feature learning based on Representation Learning of Error B. Ghazanfari Fatemeh Afghah Mohammadtaghi Hajiaghayi SSL 9 2 0 08 Mar 2020
Deep Representation Learning in Speech Processing: Challenges, Recent Advances, and Future Trends S. Latif R. Rana Sara Khalifa Raja Jurdak Junaid Qadir Björn W. Schuller AI4TS 29 81 0 02 Jan 2020
Deep Learning Application in Security and Privacy -- Theory and Practice: A Position Paper Julia A. Meister Raja Naeem Akram K. Markantonakis 11 0 0 01 Dec 2018
Improving neural networks by preventing co-adaptation of feature detectors Geoffrey E. Hinton Nitish Srivastava A. Krizhevsky Ilya Sutskever Ruslan Salakhutdinov VLM 266 7,636 0 03 Jul 2012