Biclustering refers to simultaneously capturing correlations present among subsets of attributes (columns) and records (rows). It is widely used in data mining applications includ...
Clustering is a data mining problem which finds dense regions in a sparse multi-dimensional data set. The attribute values and ranges of these regions characterize the clusters. ...
This paper studies non-cryptographic authenticated broadcast in radio networks subject to malicious failures. We introduce two protocols that address this problem. The first, Nei...
Dan Alistarh, Seth Gilbert, Rachid Guerraoui, Zark...
The importance of faces in human interaction explains the desire for synthetic faces as a communication vehicle in computer graphics. Unfortunately, animating a face is a very com...
Modern network intrusion detection systems need to perform regular expression matching at line rate in order to detect the occurrence of critical patterns in packet payloads. Whil...