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Quantization based recursive Importance Sampling
International audience -
Convergence of distributed asynchronous learning vector quantization algorithms
Motivated by the problem of effectively executing clustering algorithms on very large data sets, we address a model for large scale distributed clustering methods. To... -
Shortfall risk minimization in discrete time financial market models
International audience -
Partial functional quantization and generalized bridges
In this article, we develop a new approach to functional quantization, which consists in discretizing only a finite subset of the Karhunen-Loève coordinates of a... -
3D Shape Retrieval using Bag-of-feature method basing on local codebooks
ISBN : 978-3-642-31253-3 -
Adaptive learning vector quantization for online parametric estimation
International audience -
Entropy And Vision
In vector quantization the number of vectors used to construct the codebook is always an undefined problem, there is always a compromise between the number of vectors... -
Unsupervised Connectionist Algorithms for Clustering an environmental data se...
Article dans revue scientifique avec comité de lecture.
