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» Controlling Model Complexity in Flow Estimation
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OSDI
2004
ACM
14 years 8 months ago
Using Magpie for Request Extraction and Workload Modelling
Tools to understand complex system behaviour are essential for many performance analysis and debugging tasks, yet there are many open research problems in their development. Magpi...
Paul Barham, Austin Donnelly, Rebecca Isaacs, Rich...
ICEBE
2005
IEEE
135views Business» more  ICEBE 2005»
14 years 2 months ago
GridPML: A Process Modeling Language and History Capture System for Grid Service Composition
This paper presents a process modeling language known as the GridPML for the composition of Grid Services. The GridPML is an XML-based language that supports basic control flow co...
Hua Ma, Susan Darling Urban, Yang Xiao, Suzanne W....
CVPR
2005
IEEE
14 years 10 months ago
Multiscale Segmentation by Combining Motion and Intensity Cues
We present a multiscale method for motion segmentation. Our method begins with local, ambiguous optical flow measurements. It uses a process of aggregation to resolve the ambiguit...
Meirav Galun, Alexander Apartsin, Ronen Basri
CDC
2008
IEEE
14 years 2 months ago
Shannon meets Bellman: Feature based Markovian models for detection and optimization
— The goal of this paper is to develop modeling techniques for complex systems for the purposes of control, estimation, and inference: (i) A new class of Hidden Markov Models is ...
Sean P. Meyn, George Mathew
ACSAC
2010
IEEE
13 years 6 months ago
Quantifying information leaks in software
Leakage of confidential information represents a serious security risk. Despite a number of novel, theoretical advances, it has been unclear if and how quantitative approaches to ...
Jonathan Heusser, Pasquale Malacaria