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APNOMS
2007
Springer
16 years 26 days ago
A Density Based Clustering for Node Management in Wireless Sensor Network
This paper represents a new clustering approach for wireless sensor network. It is a decentralized algorithm having the topology control information in each sensor node. A post lea...
Md. Obaidur Rahman, Byung Goo Choi, Muhammad Mosta...
CDC
2008
IEEE
147views Control Systems» more  CDC 2008»
16 years 1 months ago
Clustering neural spike trains with transient responses
— The detection of transient responses, i.e. non– stationarities, that arise in a varying and small fraction of the total number of neural spike trains recorded from chronicall...
John D. Hunter, Jianhong Wu, John G. Milton
ISDA
2006
IEEE
16 years 20 days ago
Modular Neural Network Task Decomposition Via Entropic Clustering
The use of monolithic neural networks (such as a multilayer perceptron) has some drawbacks: e.g. slow learning, weight coupling, the black box effect. These can be alleviated by t...
Jorge M. Santos, Luís A. Alexandre, Joaquim...
WS
2008
ACM
15 years 6 months ago
Metcalfe's law, Web 2.0, and the Semantic Web
: The power of the Web is enhanced through the network effect produced as resources link to each other with the value determined by Metcalfe's law. In Web 2.0 applications, mu...
James A. Hendler, Jennifer Golbeck
IEEEHPCS
2010
15 years 5 months ago
An experimental study of greedy routing algorithms
The “small world” phenomenon, i.e., the fact that the global social network is strongly connected in the sense that every two persons are inter-related through a small chain o...
Stavros Athanassopoulos, Christos Kaklamanis, Ilia...