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ECML
2006
Springer
15 years 10 months ago
An Adaptive Kernel Method for Semi-supervised Clustering
Semi-supervised clustering uses the limited background knowledge to aid unsupervised clustering algorithms. Recently, a kernel method for semi-supervised clustering has been introd...
Bojun Yan, Carlotta Domeniconi
AINA
2010
IEEE
15 years 10 months ago
PRoPHET+: An Adaptive PRoPHET-Based Routing Protocol for Opportunistic Network
Abstract—We propose PRoPHET+, a routing scheme for opportunistic networks designed to maximize successful data delivery rate and minimize transmission delay. PRoPHET+ computes a ...
Ting-Kai Huang, Chia-Keng Lee, Ling-Jyh Chen
ARC
2008
Springer
155views Hardware» more  ARC 2008»
15 years 8 months ago
Run-time Adaptable Architectures for Heterogeneous Behavior Embedded Systems
As embedded applications are getting more complex, they are also demanding highly diverse computational capabilities. The majority of all previously proposed reconfigurable archite...
Antonio Carlos Schneider Beck, Mateus B. Rutzig, G...
ENVSOFT
2008
115views more  ENVSOFT 2008»
15 years 6 months ago
Adaptive fuzzy modeling versus artificial neural networks
In this paper two areas of soft computing (fuzzy modeling and artificial neural networks) are discussed. Based on the fundamental mathematical similarity of fuzzy technique and ra...
Ralf Wieland, Wilfried Mirschel
TMC
2008
123views more  TMC 2008»
15 years 6 months ago
Learning Adaptive Temporal Radio Maps for Signal-Strength-Based Location Estimation
In wireless networks, a client's locations can be estimated using signal strength received from signal transmitters. Static fingerprint-based techniques are commonly used for ...
Jie Yin, Qiang Yang, Lionel M. Ni