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ICANN
2010
Springer
13 years 10 months ago
Model of the Hippocampal Learning of Spatio-temporal Sequences
We propose a model of the hippocampus aimed at learning the timed association between subsequent sensory events. The properties of the neural network allow it to learn and predict ...
Julien Hirel, Philippe Gaussier, Mathias Quoy
PERCOM
2010
ACM
13 years 7 months ago
Architecture and protocols for the Internet of Things: A case study
—In this paper, we describe a practical realization of an Internet-of-Things (IoT) architecture at the University of Padova, Italy. Our network spans the floors of different bui...
Angelo Paolo Castellani, Nicola Bui, Paolo Casari,...
ISPDC
2005
IEEE
14 years 2 months ago
GMRES Method on Lightweight GRID System
Grid computing accomplishes high throughput computing by using a very large number of unexploited computing resources. We present a parallel method GMRES to solve large sparse lin...
Haiwu He, Guy Bergére, Serge G. Petiton
SIGMOD
2004
ACM
153views Database» more  SIGMOD 2004»
14 years 2 months ago
Spatially-decaying aggregation over a network: model and algorithms
Data items are often associated with a location in which they are present or collected, and their relevance or in uence decays with their distance. Aggregate values over such data...
Edith Cohen, Haim Kaplan
SIGKDD
2008
125views more  SIGKDD 2008»
13 years 9 months ago
Incremental pattern discovery on streams, graphs and tensors
Incremental pattern discovery targets streaming applications where the data continuously arrive incrementally. The questions are how to find patterns (main trends) incrementally; ...
Jimeng Sun