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Automatic Adaptation of Sound Analysis and Synthesis
In this work, we look for methods providing a local variation of the time-frequency resolution for sound analysis and re-synthesis. In Time-Frequency Analysis,... -
A latent factor model for highly multi-relational data
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Traitement des signaux parcimonieux et applications
Whatever the field of application, optimizing the results and sometimes even solving problems requires taking advantage of the whole prior information. In this... -
On false discovery rate thresholding for classification under sparsity
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Identification of MIMO switched state-space models
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A fundamental pitfall in blind deconvolution with sparse and shift-invariant ...
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Learning nonlinear hybrid systems: from sparse optimization to support vector...
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Aggregation by exponential weighting, sharp PAC-Bayesian bounds and sparsity
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Dequantizing compressed sensing: When oversampling and non-gaussian constrain...
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3-D Data Denoising and Inpainting with the Low-Redundancy Fast Curvelet Trans...
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High-resolution deconvolution applied to non destructive testing
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Projection Onto The k-Cosparse Set is NP-Hard
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Sparsity regret bounds for individual sequences in online linear regression
We consider the problem of online linear regression on arbitrary deterministic sequences when the ambient dimension d can be much larger than the number of time rounds... -
Contributions to the study of free bands detection in the context of Cognitiv...
The wireless communications systems continue to grow and has become very essential nowadays. This growth causes an increase in the demand of spectrum resources, which... -
Robust Bayesian super-resolution approach via sparsity enforcing a priori for...
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An overview of inverse problem regularization using sparsity
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Sparsity and morphological diversity for hyperspectral data analysis
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Morphological Diversity and Sparsity for Multichannel Data Restoration
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Sparse Adaptive Parameterization of Variability in Image Ensembles
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