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» Failure Prediction in Computational Grids
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BMCBI
2011
13 years 2 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
13 years 9 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
14 years 1 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
13 years 7 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
12 years 4 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