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» Testing of Image Processing Algorithms on Synthetic Data
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ICASSP
2011
IEEE
13 years 1 months ago
Itakura-Saito nonnegative matrix factorization with group sparsity
We propose an unsupervised inference procedure for audio source separation. Components in nonnegative matrix factorization (NMF) are grouped automatically in audio sources via a p...
Augustin Lefevre, Francis Bach, Cédric F&ea...
IBPRIA
2003
Springer
14 years 3 months ago
Incrementally Assessing Cluster Tendencies with a Maximum Variance Cluster Algorithm
A straightforward and efficient way to discover clustering tendencies in data using a recently proposed Maximum Variance Clustering algorithm is proposed. The approach shares the ...
Krzysztof Rzadca, Francesc J. Ferri
ICIP
2009
IEEE
14 years 11 months ago
Effective Initialization Of K-means For Color Quantization
Color quantization is an important operation with many applications in graphics and image processing. Most quantization methods are essentially based on data clustering algorithms...
BMCBI
2008
166views more  BMCBI 2008»
13 years 10 months ago
Biclustering via optimal re-ordering of data matrices in systems biology: rigorous methods and comparative studies
Background: The analysis of large-scale data sets via clustering techniques is utilized in a number of applications. Biclustering in particular has emerged as an important problem...
Peter A. DiMaggio Jr., Scott R. McAllister, Christ...
DAGM
2007
Springer
14 years 4 months ago
Stochastic Optimization of Multiple Texture Registration Using Mutual Information
Abstract. We consider the problem of simultaneously registering several images to a 3D model. We propose a global approach based on mutual information that extends previous methods...
Ioan Cleju, Dietmar Saupe