Title
Classification with reject option using contextual information
Abstract
We propose a new algorithm for classification that merges classification with reject option with classification using contextual information. A reject option is desired in many image-classification applications requiring a robust classifier and when the need for high classification accuracy surpasses the need to classify the entire image. Moreover, our algorithm improves the classifier performance by including local and nonlocal contextual information, at the expense of rejecting a fraction of the samples. As a probabilistic model, we adopt a multinomial logistic regression. We use a discriminative random model for the description of the problem; we introduce reject option into the classification problem through association potential, and contextual information through interaction potential. We validate the method on the images of H&E-stained teratoma tissues and show the increase in the classifier performance when rejecting part of the assigned class labels.
Year
DOI
Venue
2013
10.1109/ISBI.2013.6556780
Biomedical Imaging
Keywords
Field
DocType
biological tissues,image classification,medical image processing,probability,random processes,regression analysis,classifier performance,discriminative random model,image classification application,multinomial logistic regression,nonlocal contextual information,probabilistic model,reject option,teratoma tissue image,discriminative random fields,image classification,reject option
Contextual information,Pattern recognition,Computer science,Regression analysis,Multinomial logistic regression,Stochastic process,Artificial intelligence,Statistical model,Contextual image classification,Classifier (linguistics),Discriminative model,Machine learning
Conference
ISSN
ISBN
Citations 
1945-7928
978-1-4673-6456-0
3
PageRank 
References 
Authors
0.38
7
6
Name
Order
Citations
PageRank
Filipe Condessa1204.52
José M. Bioucas-Dias23565173.67
Carlos A. Castro3484.03
John A Ozolek415011.13
Jelena Kovacevic580295.87
Bioucas-Dias, J.681.34