+ General Information
+ Members
+ Research
+ Intranet

2019 + pics


14th workshop gRFIA

2nd International Workshop on Reading Music Systems


Delft, November 2

12th international workshop on Machine Learning and Music


Würzburg (Germany): September 16, 2019



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

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

@article {
 author = "Oncina, Jose; Vidal, Enrique",
 title  = "Interactive Structured Output Prediction: Application to Chromosome Classification",
 journal = "Pattern Recognition and Image Analysis (LNCS)",
 month = "June",
 pages = "256-264",
 volume = "6669",
 year = "2011"
Valid XHTML 1.0!Valid CSS!