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ACL
2006
15 years 7 months ago
Modeling Commonality among Related Classes in Relation Extraction
This paper proposes a novel hierarchical learning strategy to deal with the data sparseness problem in relation extraction by modeling the commonality among related classes. For e...
Guodong Zhou, Jian Su, Min Zhang
IPPS
1996
IEEE
15 years 10 months ago
Implementing the Data Diffusion Machine Using Crossbar Routers
The Data Diffusion Machine is a scalable virtual shared memory architecture. A hierarchical network is used to ensure that all data can be located in a time bounded by O(logp), wh...
Henk L. Muller, Paul W. A. Stallard, David H. D. W...
IROS
2007
IEEE
145views Robotics» more  IROS 2007»
16 years 10 days ago
A quantitative method for comparing trajectories of mobile robots using point distribution models
— In the field of mobile robotics, trajectory details are seldom taken into account to qualify robot performance. Most metrics rely mainly on global results such as the total ti...
Pierre Roduit, Alcherio Martinoli, Jacques Jacot
ICDCS
2006
IEEE
16 years 2 days ago
PRINS: Optimizing Performance of Reliable Internet Storages
Distributed storage systems employ replicas or erasure code to ensure high reliability and availability of data. Such replicas create great amount of network traffic that negative...
Qing Yang, Weijun Xiao, Jin Ren
MOBIHOC
2007
ACM
16 years 5 months ago
Scalable routing in delay tolerant networks
The non-existence of an end-to-end path poses a challenge in adapting the traditional routing algorithms to delay tolerant networks (DTNs). Previous works include centralized rout...
Cong Liu, Jie Wu