Extracting Image Features Through Deep Learning
Subject Areas : Majlesi Journal of Telecommunication Devices
1 - Department of metallurgical Engineering, Islamic Azad University, Karaj, Iran
Keywords:
Abstract :
[1] Farinaz Alamian Harandi, Vali Darhami, Extraction of features from depth data using deep learning method for supervised control of a wheeled robot, Journal of Control, Vol. 11, No. 4, Winter 2017, pp. 24-13.
[2] Courville, I. G. a. Y. B. a. A., Deep Learning: MIT Press, 2016.
[3] Bengio, Y., Courville, A., & Vincent, P., 2013, "Representation learning: A review and new perspectives". IEEE transactions on pattern analysis and machine intelligence, 35(8), 1798-1828.
[4] Bengio, Y., 2009, "Learning deep architectures for AI". Foundations and trends® in Machine Learning, 2(1), 1-127.
[5] Hinton, G. E., & Salakhutdinov, R. R., 2006, "Reducing the dimensionality of data with neural networks". Science, 313(5786), 504-507.
[6] Lee, H., Grosse, R., Ranganath, R., & Ng, A. Y., 2009, "Convolutional deep belief networks for scalable unsupervised learning of hierarchical representations", Proceedings of the 26th annual international conference on machine learning.
[7] Liu, J. N., Hu, Y., You, J. J., & Chan, P. W., 2014, "Deep neural network based feature representation for weather forecasting", Proceedings on the International Conference on Artificial Intelligence (ICAI).
[8] Mehdi Jamaseb Khalari,V. Derhami, "Identify hand mode in video with deep learning", Sixth Joint Congress of Fuzzy Systems and Ho Shamand Iran March 2010.
[9] http://www.7khatcode.com.