Text categorization algorithms usually represent documents as bags of words and consequently have to deal with huge numbers of features. Most previous studies found that the major...
Feature selection is the task of choosing a small set out of a given set of features that capture the relevant properties of the data. In the context of supervised classification ...
Clinical and research neurosurgical studies involving the use of intracranial electroencephalography and cortical stimulation depend critically on accurate localization of electro...
James P. O'Shea, William M. Wells III, Alexandra G...
We are studying the genetic influence on rates of age related muscle degeneration in C. elegans. For this, we built pattern recognition tools to calculate a morphological score gi...
Nikita Orlov, Josiah Johnston, Tomasz J. Macura, C...
We investigate how to organize a large collection of geotagged photos, working with a dataset of about 35 million images collected from Flickr. Our approach combines content analy...
David J. Crandall, Lars Backstrom, Daniel P. Hutte...