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SIGMOD
2004
ACM
144views Database» more  SIGMOD 2004»
16 years 6 months ago
Diamond in the Rough: Finding Hierarchical Heavy Hitters in Multi-Dimensional Data
Data items archived in data warehouses or those that arrive online as streams typically have attributes which take values from multiple hierarchies (e.g., time and geographic loca...
Graham Cormode, Flip Korn, S. Muthukrishnan, Dives...
KDD
2007
ACM
124views Data Mining» more  KDD 2007»
16 years 27 days ago
Hierarchical mixture models: a probabilistic analysis
Mixture models form one of the most widely used classes of generative models for describing structured and clustered data. In this paper we develop a new approach for the analysis...
Mark Sandler
WSNA
2003
ACM
16 years 33 min ago
Role-based hierarchical self organization for wireless ad hoc sensor networks
Efficiently self organizing a network hierarchy with specific assignment of roles (or tasks) to sensors based on their physical wireless connectivity and sensing characteristics ...
Manish Kochhal, Loren Schwiebert, Sandeep K. S. Gu...
EUROGP
2007
Springer
175views Optimization» more  EUROGP 2007»
16 years 28 days ago
Fast Genetic Programming on GPUs
As is typical in evolutionary algorithms, fitness evaluation in GP takes the majority of the computational effort. In this paper we demonstrate the use of the Graphics Processing...
Simon Harding, Wolfgang Banzhaf
GECCO
2003
Springer
126views Optimization» more  GECCO 2003»
15 years 12 months ago
Coevolution and Linear Genetic Programming for Visual Learning
In this paper, a novel genetically-inspired visual learning method is proposed. Given the training images, this general approach induces a sophisticated feature-based recognition s...
Krzysztof Krawiec, Bir Bhanu