We propose a new technique for clustering of text documents that relies on a biclustering structure constructed on terms and documents. Our approach makes use of a greedy algorith...
Testing circuits which do not include a global reset signal requires either complex ATPG algorithms based on 9- or even 256-valued algebras, or some suitable method to generate in...
Fulvio Corno, Paolo Prinetto, Maurizio Rebaudengo,...
A method is described for identification and classification of proteins encoded in large DNA sequences. Previously, an automated system was introduced for the general detection of...
Abstract. We consider a new discriminative learning approach to sequence labeling based on the statistical concept of the Z-score. Given a training set of pairs of hidden-observed ...
—The analysis of periodic or repetitive motions is useful in many applications, such as the recognition and classification of human and animal activities. Existing methods for th...