PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning

Interactive Structured Output Prediction: Application to Chromosome Classification
Jose Oncina and Enrique Vidal
Pattern Recognition and Image Analysis (LNCS) Volume 6669, pp. 256-264, 2011.

Abstract

nteractive 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 (noninteractive) chromosome label prediction error rate and b) they are further improved when interactive processing is adopted.

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EPrint Type:Article
Project Keyword:Project Keyword UNSPECIFIED
Subjects:Theory & Algorithms
ID Code:7412
Deposited By:Jose Oncina
Deposited On:17 July 2011