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HPDC
2010
IEEE
15 years 29 days ago
A hybrid Markov chain model for workload on parallel computers
This paper proposes a comprehensive modeling architecture for workloads on parallel computers using Markov chains in combination with state dependent empirical distribution functi...
Anne Krampe, Joachim Lepping, Wiebke Sieben
SIGMETRICS
2002
ACM
115views Hardware» more  SIGMETRICS 2002»
14 years 11 months ago
Maximum likelihood network topology identification from edge-based unicast measurements
Network tomography is a process for inferring "internal" link-level delay and loss performance information based on end-to-end (edge) network measurements. These methods...
Mark Coates, Rui Castro, Robert Nowak, Manik Gadhi...
GRAPHITE
2004
ACM
15 years 5 months ago
Smooth constraints for spline variational modeling
This article introduces a new class of constraints for spline variational modeling, which allows more flexible user specification, as a constrained point can ”slide” along a...
Julien Lenoir, Laurent Grisoni, Philippe Meseure, ...
BRAIN
2010
Springer
15 years 1 months ago
Cognitive Informatics and Denotational Mathematical Means for Brain Informatics
Cognitive informatics studies the natural intelligence and the brain from a theoretical and a computational approach, which rigorously explains the ms of the brain by a fundamental...
Yingxu Wang
ICIP
2006
IEEE
16 years 1 months ago
Multi-Streaming of Visual Scenes with Scalable Partial Reliability
Three-dimensional (3D) visual scenes with pluralities of graphic objects require considerable network bandwidth to be transmitted and computing power to be rendered on a user'...
Ghassan Alregib, Dihong Tian