Autoencoders trained with relevant information: Blending Shannon and Wiener's perspectives
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Eder Santana | José Carlos Príncipe | Shujian Yu | Matthew Emigh | Matthew S. Emigh | J. Príncipe | Shujian Yu | Eder Santana
[1] J. Príncipe,et al. Nonlinear extensions to the minimum average correlation energy filter , 1997 .
[2] S LuisGonzalo. REPRODUCING KERNEL HILBERT SPACE METHODS FOR INFORMATION THEORETIC LEARNING , 2012 .
[3] S. Kak. Information, physics, and computation , 1996 .
[4] Yoshua. Bengio,et al. Learning Deep Architectures for AI , 2007, Found. Trends Mach. Learn..
[5] Sudhir Madhav Rao,et al. Unsupervised learning: An information theoretic framework , 2008 .
[6] Norbert Wiener,et al. Extrapolation, Interpolation, and Smoothing of Stationary Time Series , 1964 .
[7] Yizong Cheng,et al. Mean Shift, Mode Seeking, and Clustering , 1995, IEEE Trans. Pattern Anal. Mach. Intell..
[8] C. E. SHANNON,et al. A mathematical theory of communication , 1948, MOCO.
[9] Eder Santana,et al. Information Theoretic-Learning auto-encoder , 2016, 2016 International Joint Conference on Neural Networks (IJCNN).
[10] King-Sun Fu,et al. IEEE Transactions on Pattern Analysis and Machine Intelligence Publication Information , 2004, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[11] Yoshua Bengio,et al. Generative Adversarial Nets , 2014, NIPS.
[12] Thomas Kailath,et al. A view of three decades of linear filtering theory , 1974, IEEE Trans. Inf. Theory.
[13] Pierre Baldi,et al. Autoencoders, Unsupervised Learning, and Deep Architectures , 2011, ICML Unsupervised and Transfer Learning.
[14] Jose C. Principe,et al. Information Theoretic Learning - Renyi's Entropy and Kernel Perspectives , 2010, Information Theoretic Learning.
[15] Sergio Verdú,et al. Fifty Years of Shannon Theory , 1998, IEEE Trans. Inf. Theory.
[16] Sang Joon Kim,et al. A Mathematical Theory of Communication , 2006 .
[17] David J. C. MacKay,et al. Information Theory, Inference, and Learning Algorithms , 2004, IEEE Transactions on Information Theory.
[18] R. Blahut. Algebraic Codes for Data Transmission , 2002 .
[19] J.E. Mazo,et al. Digital communications , 1985, Proceedings of the IEEE.
[20] Navdeep Jaitly,et al. Adversarial Autoencoders , 2015, ArXiv.