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MICCAI
2009
Springer
16 years 6 months ago
Functional Segmentation of fMRI Data Using Adaptive Non-negative Sparse PCA (ANSPCA)
We propose a novel method for functional segmentation of fMRI data that incorporates multiple functional attributes such as activation effects and functional connectivity, under a ...
Bernard Ng, Rafeef Abugharbieh, Martin J. McKeow...
OTM
2009
Springer
15 years 11 months ago
Reliable Communication Infrastructure for Adaptive Data Replication
In this paper, we propose a reliable group communication solution dedicated to a data replication algorithm to adapt it to unreliable environments. The data replication algorithm,...
Mouna Allani, Benoît Garbinato, Amirhossein ...
CIKM
2010
Springer
15 years 3 months ago
Adaptive query execution for data management in the cloud
A major component of many cloud services is query processing on data stored in the underlying cloud cluster. The traditional techniques for query processing on a cluster are those...
Adrian Daniel Popescu, Debabrata Dash, Verena Kant...
HIS
2004
15 years 6 months ago
Adaptive Boosting with Leader based Learners for Classification of Large Handwritten Data
Boosting is a general method for improving the accuracy of a learning algorithm. AdaBoost, short form for Adaptive Boosting method, consists of repeated use of a weak or a base le...
T. Ravindra Babu, M. Narasimha Murty, Vijay K. Agr...
138
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IPPS
1995
IEEE
15 years 8 months ago
Data parallel programming in an adaptive environment
For better utilization of computing resources, it is important to consider parallel programming environments in which the number of available processors varies at runtime. In this...
Guy Edjlali, Gagan Agrawal, Alan Sussman, Joel H. ...