The reassembly of fragments to reconstruct images and objects is a problem often encountered in several applications, ranging from archeology to medicine. In this paper we present...
We present SETS, an architecture for efficient search in peer-to-peer networks, building upon ideas drawn from machine learning and social network theory. The key idea is to arran...
The paper is organized as a self-contained literate Haskell program that implements elements of an executable finite set theory with focus on combinatorial generation and arithmet...
This paper describes a novel application of Statistical Learning Theory (SLT) to control model complexity in flow estimation. SLT provides analytical generalization bounds suitabl...
Zoran Duric, Fayin Li, Harry Wechsler, Vladimir Ch...
The purpose of authorship search is to identify documents written by a particular author or in a particular style in large document collections. Standard search engines match docum...