Main memory is a critical resource when processing longrunning queries over data streams with state intensive operators. In this work, we investigate state spill strategies that h...
This paper presents a framework for multiresolution compression and geometric reconstruction of arbitrarily dimensioned data designed for distributed applications. Although being ...
Background: Non-negative matrix factorisation (NMF), a machine learning algorithm, has been applied to the analysis of microarray data. A key feature of NMF is the ability to iden...
Abstract— The Internet connectivity in the Autonomous System (AS) level reflects the commercial relationship between ASes. A connection between two ASes could be of type custome...
We consider the problem of image representation and clustering. Traditionally, an n1 × n2 image is represented by a vector in the Euclidean space Rn1×n2 . Some learning algorith...