[
[1] G. Akemann, J. Baik, P. Di Francesco, The Oxford Handbook of Random Matrix Theory, Oxford, Oxford University Press (2011). ⇒170
]Search in Google Scholar
[
[2] G. W. Anderson, A. Guionnet, O. Zeitouni, An introduction to random matrices, Cambridge, Cambridge University Press (2010). ⇒17010.1017/CBO9780511801334
]Search in Google Scholar
[
[3] L. A. Diago, T. Kitaoka, I. Hagiwara, Development of a System for Automatic Facial Expression Analysis, Journal of Computational Science and Technology 2, 4 (2008) 401–412. ⇒15610.1299/jcst.2.401
]Search in Google Scholar
[
[4] E. N. Gilbert, A comparison of signalling alphabets, Bell System Technical Journal 31 (1952) 504–522. ⇒16110.1002/j.1538-7305.1952.tb01393.x
]Search in Google Scholar
[
[5] I. Hagiwara, Global Optimization Method to Multiple Local Optimals with the Surface Approximation Methodology and Its Application for Industry Problems, in: Response Surface Methodology in Engineering Science (ed. K. Palanikumar), IntechOpen, (2021). ⇒15610.5772/intechopen.98907
]Search in Google Scholar
[
[6] R. W. Hamming, Error Detecting and Error Correcting Codes, The Bell System Technical Journal 29, 2 (1950) 147–160. ⇒16110.1002/j.1538-7305.1950.tb00463.x
]Search in Google Scholar
[
[7] Y. Hendra, R. P. Gopalan, M. G. Nair, A method for dynamic indexing of large image databases, IEEE SMC’99 Conference Proceedings, 1999 IEEE International Conference on Systems, Man, and Cybernetics 1 (1999) 302–307. ⇒156
]Search in Google Scholar
[
[8] J. I. Khan, D. Y. Y. Yun, H. Garcia, Visual query in medical image archive, Proceedings of the Fourth International Conference on Image Management and Communication (IMAC 95) (1995) 21–31. ⇒156
]Search in Google Scholar
[
[9] A. Krizhevsky, Learning Multiple Layers of Features from Tiny Images, Technical Report, Computer Science Department, University of Toronto (2009). ⇒160
]Search in Google Scholar
[
[10] J. H. Lint, Introduction to Coding Theory, Graduate Texts in Mathematics 86 (1999). ⇒160
]Search in Google Scholar
[
[11] R. Manger, Holographic Neural Networks and Data Compression, Informatica 21 (1997) 665–673. ⇒156
]Search in Google Scholar
[
[12] R. Manger, Memory reduction techniques for holographic neurons, Proceedings of the 4th International Symposium on Operational Research in Slovenia (SOR ’97 - Preddvor, Slovenia, October 1-3, 1997) (ed. V. Rupnik, L. Zadnik Stirn, S. Drobne), Slovenian Society Informatika, Ljubljana, Slovenia (1997) 195–200.⇒158
]Search in Google Scholar
[
[13] R. Manger, M. Mauher, Using holographic neural networks for currency exchange rates prediction, Proceedings of the 16th International Conference on Information Technology Interfaces (ITI ’94 - Pula, June 14-17, 1994) (ed. V.Čerić, V. Hljuz Dobrić), University Computing Centre, Zagreb, Croatia (1994) 143–150. ⇒156
]Search in Google Scholar
[
[14] R. Manger, V. L. Plantamura, B. Souček, Stimulus preprocessing for holographic neural networks, Frontier Decision Support Concepts (ed. V. L. Plantamura, B. Souček and G. Visaggio), John Wiley and Sons, New York, USA (1994) 79–90. ⇒157
]Search in Google Scholar
[
[15] R. Manger, V. L. Plantamura, B. Souček, Classification with holographic neural networks, Frontier Decision Support Concepts (ed. V. L. Plantamura, B. Souček and G. Visaggio), John Wiley and Sons, New York, USA (1994) 91–106. ⇒156
]Search in Google Scholar
[
[16] R. Manger, B. Souček, New Preprocessing Methods for Holographic Neural Networks, Albrecht, R.F., Reeves, C.R., Steele, N.C. (eds) Artificial Neural Nets and Genetic Algorithms. Springer (1993) 190–197. ⇒15710.1007/978-3-7091-7533-0_29
]Search in Google Scholar
[
[17] M. L. Mehta, Random Matrices, Amsterdam, Elsevier/Academic Press (2004). ⇒170
]Search in Google Scholar
[
[18] J. G. Sutherland, A Holographic Model of Memory, Learning and Expression, International Journal of Neural Systems 1, 3 (1990) 259–267. ⇒155, 157, 15810.1142/S0129065790000163
]Search in Google Scholar
[
[19] J. G. Sutherland, The Holographic Neural Method, in: Fuzzy, Holographic and Parallel Intelligence (ed. B. Souček), (1992). ⇒155
]Search in Google Scholar
[
[20] J. G. Sutherland, W. C. Radzelovage, Land Mine Detection Applying Holo-graphic Neural Technology (HNet), Proceedings of SPIE 6553, 1 (2007). ⇒ 15610.1117/12.729264
]Search in Google Scholar
[
[21] T. Tao, Topics in random matrix theory, Graduate Studies in Mathematics, vol. 132, American Mathematical Society (2012). ⇒17010.1090/gsm/132
]Search in Google Scholar
[
[22] R. R. Varshamov, Estimate of the number of signals in error correcting codes, Doklady Akademii Nauk SSSR 117 (1957) 739–741. English Translation in I. F. Blake, Algebraic Coding Theory: History and Development, Dowden, Hutchinson & Ross, 1973, pp. 68–71. ⇒162
]Search in Google Scholar
[
[23] ***, clBLAS, https://github.com/clMathLibraries/clBLAS ⇒159
]Search in Google Scholar
