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» Clustering with or without the Approximation
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ESANN
2006
15 years 3 months ago
Cluster detection algorithm in neural networks
Complex networks have received much attention in the last few years, and reveal global properties of interacting systems in domains like biology, social sciences and technology. O...
David Meunier, Hélène Paugam-Moisy
IMCSIT
2010
14 years 8 months ago
Multi-level Parallelization with Parallel Computational Services in BeesyCluster
The paper presents a concept, implementation and real examples of dynamic parallelization of computations using services derived from MPI applications deployed in the BeesyCluster ...
Pawel Czarnul
INTERSPEECH
2010
14 years 8 months ago
Autoregressive clustering for HMM speech synthesis
The autoregressive HMM has been shown to provide efficient parameter estimation and high-quality synthesis, but in previous experiments decision trees derived from a non-autoregre...
Matt Shannon, William Byrne
CLUSTER
2008
IEEE
15 years 8 months ago
Enabling lock-free concurrent fine-grain access to massive distributed data: Application to supernovae detection
—We consider the problem of efficiently managing massive data in a large-scale distributed environment. We consider data strings of size in the order of Terabytes, shared and ac...
Bogdan Nicolae, Gabriel Antoniu, Luc Bougé
CIKM
2003
Springer
15 years 6 months ago
Tracking changes in user interests with a few relevance judgments
Keeping track of changes in user interests from a document stream with a few relevance judgments is not an easy task. To tackle this problem, we propose a novel method that integr...
Dwi H. Widyantoro, Thomas R. Ioerger, John Yen