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» Improved Algorithms for Data Migration
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NIPS
2008
15 years 5 months ago
Unlabeled data: Now it helps, now it doesn't
Empirical evidence shows that in favorable situations semi-supervised learning (SSL) algorithms can capitalize on the abundance of unlabeled training data to improve the performan...
Aarti Singh, Robert D. Nowak, Xiaojin Zhu
148
Voted
ACSW
2006
15 years 5 months ago
Redundant parallel data transfer schemes for the grid environment
In this paper, we proposed dynamic co-allocation schemes for parallel data transfer in a grid environment, which copes up with highly inconsistent network performances of the serv...
Raghuvel S. Bhuvaneswaran, Yoshiaki Katayama, Naoh...
132
Voted
RTSS
2007
IEEE
15 years 10 months ago
Distributed Minimal Time Convergecast Scheduling for Small or Sparse Data Sources
— Many applications of sensor networks require the base station to collect all the data generated by sensor nodes. As a consequence many-to-one communication pattern, referred to...
Ying Zhang, Shashidhar Gandham, Qingfeng Huang
134
Voted
DILS
2004
Springer
15 years 9 months ago
Heterogeneous Data Integration with the Consensus Clustering Formalism
Meaningfully integrating massive multi-experimental genomic data sets is becoming critical for the understanding of gene function. We have recently proposed methodologies for integ...
Vladimir Filkov, Steven Skiena
115
Voted
TVCG
2008
87views more  TVCG 2008»
15 years 3 months ago
The Seismic Analyzer: Interpreting and Illustrating 2D Seismic Data
We present a toolbox for quickly interpreting and illustrating 2D slices of seismic volumetric reflection data. Searching for oil and gas involves creating a structural overview of...
Daniel Patel, Christopher Giertsen, John Thurmond,...