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CCR
2004
168views more  CCR 2004»
13 years 9 months ago
Coping with irregular spatio-temporal sampling in sensor networks
Wireless sensor networks have attracted attention from a diverse set of researchers, due to the unique combination of distributed, resource and data processing constraints. Howeve...
Deepak Ganesan, Sylvia Ratnasamy, Hanbiao Wang, De...
VLDB
2007
ACM
131views Database» more  VLDB 2007»
14 years 10 months ago
Dissemination of compressed historical information in sensor networks
Sensor nodes are small devices that "measure" their environment and communicate feeds of low-level data values to a base station for further processing and archiving. Dis...
Antonios Deligiannakis, Yannis Kotidis, Nick Rouss...
NN
2008
Springer
150views Neural Networks» more  NN 2008»
13 years 9 months ago
Neural network based pattern matching and spike detection tools and services - in the CARMEN neuroinformatics project
In the study of information flow in the nervous system, component processes can be investigated using a range of electrophysiological and imaging techniques. Although data is diff...
Martyn Fletcher, Bojian Liang, Leslie Smith, Alast...
VLDB
2005
ACM
129views Database» more  VLDB 2005»
14 years 3 months ago
Sketching Streams Through the Net: Distributed Approximate Query Tracking
Emerging large-scale monitoring applications require continuous tracking of complex dataanalysis queries over collections of physicallydistributed streams. Effective solutions hav...
Graham Cormode, Minos N. Garofalakis
SAC
2004
ACM
14 years 3 months ago
Time-frequency feature detection for time-course microarray data
Gene clustering based on microarray data provides useful functional information to the working biologists. Many current gene-clustering algorithms rely on Euclidean-based distance...
Jiawu Feng, Paolo Emilio Barbano, Bud Mishra