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ACL
2008
15 years 8 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
2003
15 years 8 months ago
Using Read-Copy-Update Techniques for System V IPC in the Linux 2.5 Kernel
Read-copy update (RCU) allows lock-free read-only access to data structures that are concurrently modified on SMP systems. Despite the concurrent modifications, read-only access...
Andrea Arcangeli, Mingming Cao, Paul E. McKenney, ...
ICCV
2009
IEEE
1556views Computer Vision» more  ICCV 2009»
16 years 11 months ago
Kernel Methods for Weakly Supervised Mean Shift Clustering
Mean shift clustering is a powerful unsupervised data analysis technique which does not require prior knowledge of the number of clusters, and does not constrain the shape of th...
Oncel Tuzel, Fatih Porikli, Peter Meer
JIS
2010
125views more  JIS 2010»
15 years 5 months ago
Representing and sharing folksonomies with semantics
Websites that provide content creation and sharing features have become quite popular recently. These sites allow users to categorize and browse content using ‘tags’ or free-t...
Hak Lae Kim, Stefan Decker, John G. Breslin
SSDBM
1999
IEEE
140views Database» more  SSDBM 1999»
15 years 11 months ago
An Infrastructure for Scalable Parallel Multidimensional Analysis
Multidimensional Analysis in On-Line Analytical Processing (OLAP), and Scientific and statistical databases (SSDB) use operations requiring summary information on multi-dimensiona...
Sanjay Goil, Alok N. Choudhary