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IGPL
2011
13 years 3 months ago
A new clustering algorithm applying a hierarchical method neural network
Clustering is a branch of multivariate analysis that is used to create groups of data. While there are currently a variety of techniques that are used for creating clusters, many ...
Javier Bajo, Juan Francisco de Paz, Sara Rodr&iacu...
VLDB
2008
ACM
147views Database» more  VLDB 2008»
14 years 9 months ago
PicShark: mitigating metadata scarcity through large-scale P2P collaboration
With the commoditization of digital devices, personal information and media sharing is becoming a key application on the pervasive Web. In such a context, data annotation rather th...
Philippe Cudré-Mauroux, Adriana Budura, Manfred H...
BTW
2007
Springer
189views Database» more  BTW 2007»
14 years 3 months ago
Reconsidering Consistency Management in Shared Data Spaces for Emergency and Rescue Applications
: Efficient information sharing is very important for emergency and rescue operations. These operations often have to be performed in environments where no communication infrastruc...
Thomas Plagemann, Ellen Munthe-Kaas, Vera Goebel
MICRO
1997
IEEE
90views Hardware» more  MICRO 1997»
14 years 13 days ago
ProfileMe: Hardware Support for Instruction-Level Profiling on Out-of-Order Processors
Profile data is valuable for identifying performance bottlenecks and guiding optimizations. Periodic sampling of a processor's performance monitoring hardware is an effective...
Jeffrey Dean, James E. Hicks, Carl A. Waldspurger,...
ICASSP
2010
IEEE
13 years 9 months ago
Collaborative spectrum sensing from sparse observations using matrix completion for cognitive radio networks
— In cognitive radio, spectrum sensing is a key component to detect spectrum holes (i.e., channels not used by any primary users). Collaborative spectrum sensing among the cognit...
Jia Meng, Wotao Yin, Husheng Li, Ekram Hossain, Zh...