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ACL
2007
15 years 5 months ago
A Seed-driven Bottom-up Machine Learning Framework for Extracting Relations of Various Complexity
A minimally supervised machine learning framework is described for extracting relations of various complexity. Bootstrapping starts from a small set of n-ary relation instances as...
Feiyu Xu, Hans Uszkoreit, Hong Li
SEW
2007
IEEE
15 years 10 months ago
Testing Patterns
: After over a decade of use, design patterns continue to find new areas of application. In previous work, we presented a contract formalism for specifying patterns precisely, and...
Neelam Soundarajan, Jason O. Hallstrom, Adem Delib...
EUROPLOP
2006
15 years 5 months ago
A Pattern Language for Overlay Networks in Peer-to-Peer Systems
Peer-to-peer systems typically operate in large-scale, highly unreliable and insecure environments. Tackling this complexity requires good software design. Yet, many peer-to-peer ...
Dominik Grolimund, Peter Muller
ICIP
2007
IEEE
16 years 6 months ago
Common Spatial Pattern Discovery by Efficient Candidate Pruning
Automatically discovering common visual patterns in images is very challenging due to the uncertainties in the visual appearances of such spatial patterns and the enormous computa...
Junsong Yuan, Zhu Li, Yun Fu, Ying Wu, Thomas S. H...
EWSA
2006
Springer
15 years 8 months ago
Component Deployment Evolution Driven by Architecture Patterns and Resource Requirements
Software architectures are often designed with respect to some architecture patterns, like the pipeline and peer-to-peer. These patterns are the guarantee of some quality attribute...
Didier Hoareau, Chouki Tibermacine