The Science of Pattern Recognition. Achievements and Perspectives

@inproceedings{Duin2007TheSO,
  title={The Science of Pattern Recognition. Achievements and Perspectives},
  author={Robert P. W. Duin and Elzbieta Pekalska},
  booktitle={Challenges for Computational Intelligence},
  year={2007}
}
Automatic pattern recognition is usually considered as an engineering area studying the development and evaluation of systems that imitate or assist the human ability of recognizing patterns. It may, however, also be considered as a science that studies the natural phenomenon that human beings (and possibly other biological systems) are able to discover, distinguish and characterize patterns in their environment, and identify new observations accordingly. The engineering approach to pattern… CONTINUE READING

From This Paper

Figures, tables, and topics from this paper.

References

Publications referenced by this paper.
Showing 1-10 of 79 references

Statistical learning theory

View 10 Excerpts
Highly Influenced

Pattern Recognition, Human and Mechanical

S. Watanabe
John Wiley & Sons, • 1985
View 4 Excerpts
Highly Influenced

Recognition, a study in the philosophy of artificial intelligence

K. M. Sayre
University of Notre Dame Press, • 1965
View 4 Excerpts
Highly Influenced

Learning from Data: Concepts, Theory, and Methods

Technometrics • 2001
View 3 Excerpts
Highly Influenced

Pattern recognition and neural networks

View 5 Excerpts
Highly Influenced

Neural Networks for Pattern Recognition

C. M. Bishop
Oxford University Press, • 1995
View 4 Excerpts
Highly Influenced

Similar Papers

Loading similar papers…