### Feature Extraction Through LOCOCODE

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[1] Ray J. Solomonoff,et al. A Formal Theory of Inductive Inference. Part I , 1964, Information and Control.

[2] Ray J. Solomonoff,et al. A Formal Theory of Inductive Inference. Part II , 1964, Inf. Control..

[3] C. S. Wallace,et al. An Information Measure for Classification , 1968, Comput. J..

[4] J. Rissanen,et al. Modeling By Shortest Data Description* , 1978, Autom..

[5] Horace Barlow,et al. Understanding Natural Vision , 1983 .

[6] Satosi Watanabe,et al. Pattern Recognition: Human and Mechanical , 1985 .

[7] David Zipser,et al. Feature discovery by competitive learning , 1986 .

[8] D J Field,et al. Relations between the statistics of natural images and the response properties of cortical cells. , 1987, Journal of the Optical Society of America. A, Optics and image science.

[9] Teuvo Kohonen,et al. Self-Organization and Associative Memory , 1988 .

[10] Ralph Linsker,et al. Self-organization in a perceptual network , 1988, Computer.

[11] Teuvo Kohonen,et al. Self-organization and associative memory: 3rd edition , 1989 .

[12] Erkki Oja,et al. Neural Networks, Principal Components, and Subspaces , 1989, Int. J. Neural Syst..

[13] H. B. Barlow,et al. Finding Minimum Entropy Codes , 1989, Neural Computation.

[14] Kurt Hornik,et al. Neural networks and principal component analysis: Learning from examples without local minima , 1989, Neural Networks.

[15] M. Mozer. Discovering Discrete Distributed Representations with Iterative Competitive Learning , 1990, NIPS 1990.

[16] Suzanna Becker,et al. Unsupervised Learning Procedures for Neural Networks , 1991, Int. J. Neural Syst..

[17] Christian Jutten,et al. Blind separation of sources, part I: An adaptive algorithm based on neuromimetic architecture , 1991, Signal Processing.

[18] M. Kramer. Nonlinear principal component analysis using autoassociative neural networks , 1991 .

[19] Terrence J. Sejnowski,et al. Unsupervised Discrimination of Clustered Data via Optimization of Binary Information Gain , 1992, NIPS.

[20] J. Urgen Schmidhuber. Learning Factorial Codes by Predictability Minimization , 1992 .

[21] Günther Palm. On the Information Storage Capacity of Local Learning Rules , 1992, Neural Computation.

[22] Babak Hassibi,et al. Second Order Derivatives for Network Pruning: Optimal Brain Surgeon , 1992, NIPS.

[23] Garrison W. Cottrell,et al. Non-Linear Dimensionality Reduction , 1992, NIPS.

[24] J. Cardoso,et al. Blind beamforming for non-gaussian signals , 1993 .

[25] Geoffrey E. Hinton,et al. Developing Population Codes by Minimizing Description Length , 1993, NIPS.

[26] Geoffrey E. Hinton,et al. Autoencoders, Minimum Description Length and Helmholtz Free Energy , 1993, NIPS.

[27] Eric Saund. Unsupervised Learning of Mixtures of Multiple Causes in Binary Data , 1993, NIPS.

[28] Peter D. Turney. Exploiting Context When Learning to Classify , 1993, ECML.

[29] A. Norman Redlich,et al. Redundancy Reduction as a Strategy for Unsupervised Learning , 1993, Neural Computation.

[30] Jürgen Schmidhuber,et al. Discovering Predictable Classifications , 1993, Neural Computation.

[31] R. Tibshirani,et al. Flexible Discriminant Analysis by Optimal Scoring , 1994 .

[32] Jürgen Schmidhuber,et al. Simplifying Neural Nets by Discovering Flat Minima , 1994, NIPS.

[33] Schuster,et al. Separation of a mixture of independent signals using time delayed correlations. , 1994, Physical review letters.

[34] Pierre Comon,et al. Independent component analysis, A new concept? , 1994, Signal Processing.

[35] R. Zemel. A minimum description length framework for unsupervised learning , 1994 .

[36] Zoubin Ghahramani,et al. Factorial Learning and the EM Algorithm , 1994, NIPS.

[37] David J. Field,et al. What Is the Goal of Sensory Coding? , 1994, Neural Computation.

[38] Terrence J. Sejnowski,et al. An Information-Maximization Approach to Blind Separation and Blind Deconvolution , 1995, Neural Computation.

[39] Gustavo Deco,et al. Nonlinear higher-order statistical decorrelation by volume-conserving neural architectures , 1995, Neural Networks.

[40] R. Zemel,et al. Competition and Multiple Cause Models , 1995, Neural Computation.

[41] G E Hinton,et al. The "wake-sleep" algorithm for unsupervised neural networks. , 1995, Science.

[42] Andrzej Cichocki,et al. A New Learning Algorithm for Blind Signal Separation , 1995, NIPS.

[43] Eric Saund,et al. A Multiple Cause Mixture Model for Unsupervised Learning , 1995, Neural Computation.

[44] Robert Tibshirani,et al. Discriminant Adaptive Nearest Neighbor Classification , 1995, IEEE Trans. Pattern Anal. Mach. Intell..

[45] Zhaoping Li. A Theory of the Visual Motion Coding in the Primary Visual Cortex , 1996, Neural Computation.

[46] Jürgen Schmidhuber,et al. Semilinear Predictability Minimization Produces Well-Known Feature Detectors , 1996, Neural Computation.

[47] David J. Field,et al. Emergence of simple-cell receptive field properties by learning a sparse code for natural images , 1996, Nature.

[48] Joshua B. Tenenbaum,et al. Separating Style and Content , 1996, NIPS.

[49] Corso Elvezia. Low-Complexity Coding and Decoding , 1997 .

[50] Jürgen Schmidhuber,et al. Unsupervised Coding with LOCOCODE , 1997, ICANN.

[51] Jürgen Schmidhuber,et al. Discovering Neural Nets with Low Kolmogorov Complexity and High Generalization Capability , 1997, Neural Networks.

[52] Jürgen Schmidhuber,et al. Low-Complexity Art , 2017 .

[53] Z Ghahramani,et al. Generative models for discovering sparse distributed representations. , 1997, Philosophical transactions of the Royal Society of London. Series B, Biological sciences.

[54] N. Schraudolph. On Centering Neural Network Weight Updates ? , 1997 .

[55] Néstor Parga,et al. Redundancy Reduction and Independent Component Analysis: Conditions on Cumulants and Adaptive Approaches , 1997, Neural Computation.

[56] Jürgen Schmidhuber,et al. Flat Minima , 1997, Neural Computation.

[57] Petteri Pajunen,et al. Blind source separation using algorithmic information theory , 1998, Neurocomputing.

[58] Jürgen Schmidhuber,et al. LOCOCODE versus PCA and ICA , 1998 .

[59] Peter Földiák,et al. Sparse coding in the primate cortex , 1998 .