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ICML
2009
IEEE
14 years 9 months ago
Online dictionary learning for sparse coding
Sparse coding--that is, modelling data vectors as sparse linear combinations of basis elements--is widely used in machine learning, neuroscience, signal processing, and statistics...
Julien Mairal, Francis Bach, Jean Ponce, Guillermo...
ICIAP
2007
ACM
14 years 9 months ago
A Method of Clustering Combination Applied to Satellite Image Analysis
An algorithm for combining results of different clusterings is presented in this paper, the objective of which is to find groups of patterns which are common to all clusterings. T...
Ivan O. Kyrgyzov, Henri Maître, Marine Campe...
EUROGP
2007
Springer
161views Optimization» more  EUROGP 2007»
14 years 3 months ago
Mining Distributed Evolving Data Streams Using Fractal GP Ensembles
A Genetic Programming based boosting ensemble method for the classification of distributed streaming data is proposed. The approach handles flows of data coming from multiple loc...
Gianluigi Folino, Clara Pizzuti, Giandomenico Spez...
ICCS
2004
Springer
14 years 2 months ago
Simulation Coercion Applied to Multiagent DDDAS
Abstract. The unpredictable run-time configurations of dynamic, datadriven application systems require flexible simulation components that can adapt to changes in the number of i...
Yannick Loitière, David C. Brogan, Paul F. ...
KBSE
1997
IEEE
14 years 1 months ago
Application of Formal Methods to the Development of a Software Maintenance Tool
Partial evaluation is an optimization technique traditionally used in compilation. We have adapted this technique to the understanding of scientic application programs during t...
Sandrine Blazy, Philippe Facon