In this paper we suggest viewing images (as well as attacks on them) as a sequence of linear operators and propose novel hashing algorithms employing transforms that are based on ...
In many distributed environments, the primary function of monitoring software is to detect anomalies, that is, instances when system behavior deviates substantially from the norm....
Shipra Agrawal, Supratim Deb, K. V. M. Naidu, Raje...
Tuple dropping, though commonly used for load shedding in most stream operations, is inadequate for m-way, windowed stream joins. The join output rate can be overly reduced becaus...
An important theoretical tool in machine learning is the bias/variance decomposition of the generalization error. It was introduced for the mean square error in [3]. The bias/vari...
We consider the problem of efficiently sampling Web search engine query results. In turn, using a small random sample instead of the full set of results leads to efficient approxi...
Aris Anagnostopoulos, Andrei Z. Broder, David Carm...