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AOSD
2007
ACM
15 years 8 months ago
Declarative failure recovery for sensor networks
Wireless sensor networks consist of a system of distributed sensors embedded in the physical world, and promise to allow observation of previously unobservable phenomena. Since th...
Ramakrishna Gummadi, Nupur Kothari, Todd D. Millst...
BMCBI
2006
146views more  BMCBI 2006»
15 years 4 months ago
Optimized Particle Swarm Optimization (OPSO) and its application to artificial neural network training
Background: Particle Swarm Optimization (PSO) is an established method for parameter optimization. It represents a population-based adaptive optimization technique that is influen...
Michael Meissner, Michael Schmuker, Gisbert Schnei...
SIGMOD
2002
ACM
246views Database» more  SIGMOD 2002»
16 years 4 months ago
Hierarchical subspace sampling: a unified framework for high dimensional data reduction, selectivity estimation and nearest neig
With the increased abilities for automated data collection made possible by modern technology, the typical sizes of data collections have continued to grow in recent years. In suc...
Charu C. Aggarwal
SADM
2010
141views more  SADM 2010»
14 years 11 months ago
A parametric mixture model for clustering multivariate binary data
: The traditional latent class analysis (LCA) uses a mixture model with binary responses on each subject that are independent conditional on cluster membership. However, in many pr...
Ajit C. Tamhane, Dingxi Qiu, Bruce E. Ankenman
DAWAK
2000
Springer
15 years 8 months ago
Data Cube Compression with QuantiCubes
: Data warehouses typically store a multidimensional fact representation of the data that can be used in any type of analysis. Many applications materialize data cubes as multidime...
Pedro Furtado, Henrique Madeira