Cognitive models, artificial intelligence and internet of things.

Authors

  • Emir Alexander Galvis Universidad Industrial de Santander (UIS)
  • Lola Xiomara Bautista Universidad Industrial de Santander (UIS)
  • Javier de la Hoz Universidad Industrial de Santander (UIS)

DOI:

https://doi.org/10.33304/revinv.v04n2-2014002

Keywords:

Support Vector Machines, Pattern recognition, Artificial intelligence, Cognitive model, Internet of things

Abstract

Electronic devices connected to the Internet (domestic or industrial), sometimes requires interaction with humans. At this point, the process of determining who access their resources, through the recognition of faces, voices, fingerprints, etc. and gestures of individuals is essential to enhance the experience of using them. This article describes the use of general cognitive model implemented in part by BoW (bag of words) and SVMs (support vector machines) used in artificial intelligence to support the automatic face recognition and learning.

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References

Alpaydin, E. (2004). Introduction to Machine Learning (Adaptive Computation and Machine Learning). Cambridge, Massachusetts: The MIT Press.

Arbib, M., Conklin, J., & Hill, J. (1987). From Schema Theory to Language. New York: Oxford University Press.

BRadski, G., & Kaehler, A. (2008). Learning OpenCV: Computer Vision with the OpenCV Library. Cambridge: OReilly Media.

Buchanan, B. G. (2005). A (Very) Brief History of Artificial Intelligence. AI Magazine, 26(4), 53-60.

Camastra, F., Hernandez, J. A., Kokol, P., Wang, J., Zhu S. (2012) Bag-of-Words Representation in Image Annotation: A Review: International Scholarly Research Notices.

Conner, M. (27 de Mayo de 2010). EDN Network. Obtenido de Sensors empower the “Internet of Things”: http://www.edn.com/design/sensors/4363366/Sensors-empower-the-quot-Internet-of-Things-quot-

Cortes, C., & Vapnik, V. (1995). Support- Vector Networks. Machine Learning, 273-297. Gartner Inc. (2014).

Gartner News Room. Obtenido de http://ww.gartner.com/newsroom/id/2905717

Kansal, A., Goraczko, M., &Zhao, F. (2007). Building a Sensor Network of Mobile Phones. Proceedings of the 6th International Conference on Information processing in sensor networks (págs. 547-548). New York: 2007.

Magrassi, P., Panarella, A., Deighton, N., & Johnson, G. (2001). Computers to Acquire Control of the Physical World. Gartner Inc.

Payne, D., & Wenger, M. (1998). Cognitive Psychology. New York: Houghton Mifflin.

Smith, R. R. (1993). Psychology. St. Paul, MN: West Publishing Co.

Thomas, M. S., & McLelland, J. L. (2008). Connectionist Models of Cognition. En R. Sun (Ed.), The Cambridge Handbook of Computational Psychology (págs. 23-58). New York: Cambridge University Press.

Published

2014-12-31

How to Cite

Galvis, E. A., Bautista, L. X., & de la Hoz, J. (2014). Cognitive models, artificial intelligence and internet of things. I+D Revista De Investigaciones, 4(2), 15–22. https://doi.org/10.33304/revinv.v04n2-2014002