A mixture model clustering algorithm is presented for robust MRI brain image segmentation in the presence of partial volume averaging. The method uses additional classes to represe...
Functional image sequences obtained from image reconstruction techniques applied to Magneto and Electroencephalography (M/EEG) data convey a large amount of information in the spa...
Suitable reference marks are an important part of creating an understandable visualization. The reference marks create the frame in which the data is understood, thereby preservin...
Semi-supervised classification methods aim to exploit labelled and unlabelled examples to train a predictive model. Most of these approaches make assumptions on the distribution ...
This paper proposes a model for content-based retrieval of histopathology images. The most remarkable characteristic of the proposed model is that it is able to extract high-level ...