Subspace learning techniques are widespread in pattern recognition research. They include Principal Component Analysis (PCA), Locality Preserving Projection (LPP), etc. These tech...
Designing an optimal overlay communication network for a set of processes on the Internet is a central problem of peer-to-peer (P2P) computing. Such a network defines membership a...
Abstract. The Gram matrix plays a central role in many kernel methods. Knowledge about the distribution of eigenvalues of the Gram matrix is useful for developing appropriate model...
In order for middleware systems to be adaptive, their properties and services need to support a wide variety of application-specific policies. However, application developers and ...
In this paper, we describe a compilation system that automates much of the process of performance tuning that is currently done manually by application programmers interested in h...
Nastaran Baradaran, Jacqueline Chame, Chun Chen, P...