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» Failure Prediction in Computational Grids
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BMCBI
2011
14 years 6 months ago
NClassG+: A classifier for non-classically secreted Gram-positive bacterial proteins
Background: Most predictive methods currently available for the identification of protein secretion mechanisms have focused on classically secreted proteins. In fact, only two met...
Daniel Restrepo-Montoya, Camilo Pino, Luis F. Ni&n...
ICWS
2010
IEEE
15 years 1 months ago
Towards Data-Aware QoS-driven Adaptation for Service Orchestrations
Several activities in service oriented computing can benefit from the knowledge of properties of a given service composition ahead of time. We will focus here on properties related...
Dragan Ivanovic, Manuel Carro, Manuel V. Hermenegi...
IPPS
2007
IEEE
15 years 6 months ago
Experiments with a Software Component Enabling NetSolve with Direct Communications in a Non-Intrusive and Incremental Way
The paper presents a software component that enables NetSolve with direct communications between servers in a non-intrusive and incremental way. Non-intrusiveness means that the s...
Xin Zuo, Alexey L. Lastovetsky
CAD
2006
Springer
14 years 11 months ago
Incremental reconstruction of sharp edges on mesh surfaces
Limited by the regular grids in computing, many modelling approaches (e.g., field-based methods) sample 3D shape insensitive to sharp features therefore exhibit aliasing errors, b...
Charlie C. L. Wang
CVPR
2010
IEEE
13 years 9 months ago
Abrupt motion tracking via adaptive stochastic approximation Monte Carlo sampling
Robust tracking of abrupt motion is a challenging task in computer vision due to the large motion uncertainty. In this paper, we propose a stochastic approximation Monte Carlo (...
Xiuzhuang Zhou and Yao Lu