On the Optimum Architecture of the Biologically Inspired Hierarchical Temporal Memory Model Applied to the Hand-Written Digit Recognition
By: Svorad Štolc and Ivan Bajla
Open Access
|May 2010References
- Felleman, D., van Essen, D. (1991). Distributed hierarchical processing in the primate cerebral cortex.(1), 1-47.
- Serre, T., Oliva, A., Poggio, T. (2007). A feedforward architecture accounts for rapid categorization. In:, Vol. 15. pp. 6424-6429.
- Lee, T. S., Mumford, D. (2003). Hierarchical Bayesian inference in visual cortex.A 20(7), 1434-1448.
- Dean, T. (2006). Scalable inference in hierarchical generative models. In:pp. 1-9.
- Hawkins, J., Blakeslee, S. (2004).Henry Holt and Company, New York.
- George, D., Hawkins, J. (2009). Towards a mathematical theory of cortical micro-circuits.5(10). DOI 10.1371/journal.pcbi.1000532.
- George, D., Hawkins, J. (2005). Hierarchical Bayesian model of invariant pattern recognition in the visual cortex. In:Montreal, Canada.
- Numenta (2007). Zeta1 algorithms reference. Document version 1.0.
- Dong, J. (2001). Statistical results of human performance on USPS database. Technical report, CEN-PARMI, Concordia University.
- Dong, J. (2005). HeroSvm 2.1.
- Thornton, J. R., Gustafsson, T., Blumenstein, M., Hine, T. (2006). Robust character recognition using hierarchical Bayesian network. In:pp. 1259-1264.
- Thornton, J. R., Faichney, J., Blumenstein, M., Hine, T. (2008). Character recognition using hierarchical vector quantization and temporal pooling. In: Wobcke, W., Zhang, M. (eds.), Vol. Lecture Notes in Computer Science. pp. 562-572.
- Bobier, B. (2007). Hand-written digit recognition using Hierarchical Temporal Memory.
- Numenta (2009). Numenta forum: benchmark with USPS handwritten digit dataset.
- Numenta (2008). Hierarchical temporal memory, concepts, theory, and terminology. Document version 1.8.0.
- George, D. (2008). How the brain might work: a hierarchical and temporal model for learning and recognition. Ph.D. thesis, Dept. of Electrical Engineering, Stanford University, USA.
- Numenta (2009). Numenta node algorithms guide, NuPIC 1.7.
- Johnson, S. T. (1967). Hierarchical clustering schemes.32, 241-254.
- Numenta (2008). Vision framework guide, NuPIC 1.6.1.
- Goldberg, D. E. (1989).Addison-Wesley Longman Publishing Co., Inc., Boston, MA, USA.
- Wang, C. H., Srihari, S. N. (1988). A framework for object recognition in a visually complex environment and its application to locating address blocks on mail pieces.2(2), 125-151.
- Dong, J., Krzyzak, A., Suen, C. Y. (2001). Statistical results of human performance on USPS database. Technical report, Centre of Pattern Recognition and Machine Intelligence, Concordia University.
- Seewald, A. K. (2005). Digits-a dataset for hand-written digit recognition. Technical Report TR-2005-27, OFAI, Wien.
- Hull, J. J. (1994). A database for hand-written text recognition research.16, 550-554.
- LeCun, Y., Boser, B., Denker, J. S., Henderson, D., Howard, R. E., Hubbard, W., Jackel, L. D. (1989). Back-propagation applied to handwritten zip code recognition.1(4), 541-551.
- Ernst, M. D. (2004). Permutation methods: A basis for exact inference.19(4), 676-685. DOI 10.1214/088342304000000396.
- Schroeder, M. R. (1991).W. H. Freeman, New York.
- Shannon, C. E. (1948). A mathematical theory of communication.27, 379-423.
- Martin, K. J., Hirschberg, D. S. (1996). Small sample statistics for classification error rates II: confidence intervals and significance tests.
DOI: https://doi.org/10.2478/v10048-010-0008-4 | Journal eISSN: 1335-8871
Language: English
Page range: 28 - 49
Published on: May 14, 2010
Published by: Slovak Academy of Sciences, Institute of Measurement Science
In partnership with: Paradigm Publishing Services
Publication frequency: Volume open
Keywords:
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© 2010 Svorad Štolc, Ivan Bajla, published by Slovak Academy of Sciences, Institute of Measurement Science
This work is licensed under the Creative Commons License.