272 search results - page 8 / 55 » Minimal Function Graphs are not Instrumented |
HPDC
2007
IEEE
14 years 5 months ago
2007
IEEE
This paper describes a novel approach to generate an optimized schedule to run threads on distributed shared memory (DSM) systems. The approach relies upon a binary instrumentatio...
ICPR
2008
IEEE
15 years 5 days ago
2008
IEEE
In this paper we propose a novel prior-based variational object segmentation method in a global minimization framework which unifies image segmentation and image denoising. The id...
CORR
2010
Springer
13 years 7 months ago
2010
Springer
We present a combinatorial characterization of the Bethe entropy function of a factor graph, such a characterization being in contrast to the original, analytical, definition of th...
KDD
2009
ACM
14 years 11 months ago
2009
ACM
Active and semi-supervised learning are important techniques when labeled data are scarce. Recently a method was suggested for combining active learning with a semi-supervised lea...
ICML
2003
IEEE
14 years 11 months ago
2003
IEEE
An approach to semi-supervised learning is proposed that is based on a Gaussian random field model. Labeled and unlabeled data are represented as vertices in a weighted graph, wit...