Interactive Structured Output Prediction: Application to Chromosome Classification
Jose Oncina and Enrique Vidal
Pattern Recognition and Image Analysis (LNCS)
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.
|Project Keyword:||Project Keyword UNSPECIFIED|
|Subjects:||Theory & Algorithms|
|Deposited By:||Jose Oncina|
|Deposited On:||17 July 2011|