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» Data Characterization for Effective Prototype Selection
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IBPRIA
2005
Springer
13 years 10 months ago
Data Characterization for Effective Prototype Selection
Ramón Alberto Mollineda, José Salvad...
PR
2006
102views more  PR 2006»
13 years 4 months ago
Prototype selection for dissimilarity-based classifiers
A conventional way to discriminate between objects represented by dissimilarities is the nearest neighbor method. A more efficient and sometimes a more accurate solution is offere...
Elzbieta Pekalska, Robert P. W. Duin, Pavel Pacl&i...
PAA
2008
13 years 4 months ago
Prototype reduction using an artificial immune model
Artificial immune system (AIS)-based pattern classification approach is relatively new in the field of pattern recognition. The study explores the potentiality of this paradigm in ...
Utpal Garain
ICDM
2005
IEEE
188views Data Mining» more  ICDM 2005»
13 years 10 months ago
CLUMP: A Scalable and Robust Framework for Structure Discovery
We introduce a robust and efficient framework called CLUMP (CLustering Using Multiple Prototypes) for unsupervised discovery of structure in data. CLUMP relies on finding multip...
Kunal Punera, Joydeep Ghosh
ARCS
2006
Springer
13 years 8 months ago
Prototypical Implementation of Location-Aware Services Based on Super-Distributed RFID Tags
Abstract. We provide evidence of the feasibility and effectiveness of a middleware architecture for mobile devices which employs dense distributions of small computerized entities ...
Jürgen Bohn