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ICPR
2008
IEEE
16 years 5 months ago
A discrete-time parallel update algorithm for distributed learning
We present a distributed machine learning framework based on support vector machines that allows classification problems to be solved iteratively through parallel update algorithm...
Christian Bauckhage, Tansu Alpcan
CVPR
2009
IEEE
16 years 8 months ago
Early Spatiotemporal Grouping with a Distributed Oriented Energy Representation
Spatiotemporal data is associated with vast amounts of raw samples. Given the limited computational resources typically available, an initial organization of this data supporting ...
Konstantinos G. Derpanis, Richard P. Wildes
COLCOM
2007
IEEE
15 years 10 months ago
Cooperative security in distributed sensor networks
— Distributed sensor network protocols, such as routing, time synchronization or data aggregation protocols make use of collaborative techniques to minimize the consumption of sc...
Oscar García Morchon, Heribert Baldus, Tobi...
KDD
2006
ACM
129views Data Mining» more  KDD 2006»
16 years 4 months ago
Suppressing model overfitting in mining concept-drifting data streams
Mining data streams of changing class distributions is important for real-time business decision support. The stream classifier must evolve to reflect the current class distributi...
Haixun Wang, Jian Yin, Jian Pei, Philip S. Yu, Jef...
SADM
2010
128views more  SADM 2010»
15 years 2 months ago
Online training on a budget of support vector machines using twin prototypes
: This paper proposes twin prototype support vector machine (TVM), a constant space and sublinear time support vector machine (SVM) algorithm for online learning. TVM achieves its ...
Zhuang Wang, Slobodan Vucetic