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» Predicting the Performance of Wide Area Data Transfers
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ACL
2008
13 years 9 months ago
Exploiting Feature Hierarchy for Transfer Learning in Named Entity Recognition
We present a novel hierarchical prior structure for supervised transfer learning in named entity recognition, motivated by the common structure of feature spaces for this task acr...
Andrew Arnold, Ramesh Nallapati, William W. Cohen
USENIX
2008
13 years 10 months ago
Adaptive File Transfers for Diverse Environments
This paper presents dsync, a file transfer system that can dynamically adapt to a wide variety of environments. While many transfer systems work well in their specialized context,...
Himabindu Pucha, Michael Kaminsky, David G. Anders...
ICDM
2007
IEEE
187views Data Mining» more  ICDM 2007»
14 years 2 months ago
A Comparative Study of Methods for Transductive Transfer Learning
The problem of transfer learning, where information gained in one learning task is used to improve performance in another related task, is an important new area of research. While...
Andrew Arnold, Ramesh Nallapati, William W. Cohen
CVPR
2012
IEEE
11 years 10 months ago
Modulation transfer function of patch-based stereo systems
A widely used technique to recover a 3D surface from photographs is patch-based (multi-view) stereo reconstruction. Current methods are able to reproduce fine surface details, th...
Ronny Klowsky, Arjan Kuijper, Michael Goesele
IPPS
2006
IEEE
14 years 1 months ago
Parallelization and performance characterization of protein 3D structure prediction of Rosetta
The prediction of protein 3D structure has become a hot research area in the post-genome era, through which people can understand a protein’s function in health and disease, exp...
Wenlong Li, Tao Wang, Eric Li, D. Baker, Li Jin, S...