Interactive structured output prediction: application to chromosome classification

Authors:
Jose Oncina;Enrique Vidal
Affiliations:
Dept. Lenguajes y Sistemas Informáticos, Universidad de Alicante;Instituto Tecnológico de Informática, Universidad Politécnica de Valencia
Venue:
IbPRIA'11 Proceedings of the 5th Iberian conference on Pattern recognition and image analysis
Year:
2011

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Abstract

Interactive Pattern Recognition concepts and techniques are applied to problems with structured output; i.e., problems in which the result is not just a simple class label, but a suitable structure of labels. For illustration purposes (a simplification of) the problem of Human Karyotyping is considered. Results show that a) taking into account label dependencies in a karyogram significantly reduces the classical (non-interactive) chromosome label prediction error rate and b) they are further improved when interactive processing is adopted.