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ISPASS
2009
IEEE
15 years 11 months ago
Machine learning based online performance prediction for runtime parallelization and task scheduling
—With the emerging many-core paradigm, parallel programming must extend beyond its traditional realm of scientific applications. Converting existing sequential applications as w...
Jiangtian Li, Xiaosong Ma, Karan Singh, Martin Sch...
CD
2005
Springer
15 years 9 months ago
Modelling Deployment Using Feature Descriptions and State Models for Component-Based Software Product Families
Abstract. Products within a product family are composed of different component configurations where components have different variable features and a large amount of dependency re...
Slinger Jansen, Sjaak Brinkkemper
ICCV
2009
IEEE
16 years 9 months ago
A Shape-Based Object Class Model for Knowledge Transfer
Object class models trained on hundreds or thousands of images have shown to enable robust detection. Transferring knowledge from such models to new object classes trained from ...
Michael Stark, Michael Goesele, Bernt Schiele
JCIT
2007
150views more  JCIT 2007»
15 years 4 months ago
A Dynamic Knowledge Representation Model based on Hybrid Approach
Our fundamental objective is to tackle the problem faced in the field of information retrieval and classification in the current era of information overflow by proposing better an...
Reena T. N. Shetty, Pierre-Michel Riccio, Joë...
KR
2004
Springer
15 years 9 months ago
A Split-Combination Method for Merging Inconsistent Possibilistic Knowledge Bases
In this paper, a new method for merging multiple inconsistent knowledge bases in the framework of possibilistic logic is presented. We divide the fusion process into two steps: on...
Guilin Qi, Weiru Liu, David H. Glass