Higher Order Autocorrelations for Pattern Classification

The use of higher-order local autocorrelations as features forpattern recognition has been acknowledge since many years, but their applicability was restricted to relatively low orders (2 or 3) and small local neighborhoods, due to combinatorial increase in computational costs. In this paper a new method for using these features is presented, which allows the use of autocorrelations of any order and of larger neighborhoods. The method is closely related to the classifier used, a Support Vector Machine (


Published in:
Proceedings of IEEE International Conference on Image Processing (ICIP), 724-727
Year:
2001
Publisher:
SPIE
Keywords:
Laboratories:




 Record created 2006-06-14, last modified 2018-03-17

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