Publications associées à Sparse dictionary learning

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Partial Recovery Bounds for the Sparse Stochastic Block Model

Volkan Cevher, Jonathan Mark Scarlett

In this paper, we study the information-theoretic limits of community detection in the symmetric two-community stochastic block model, with intra-community and inter-community edge probabilities

\frac{a}{n}

and

\frac{b}{n}

respectively. We consider the ...

Ieee2016

Sparse dictionary learning

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200 km Fiber-Loop Conventional Brillouin Distributed Sensor with 2m Spatial Resolution Using Image Denoising

Sampling Sparse Signals on the Sphere: Algorithms and Applications

Robust sparse image reconstruction of radio interferometric observations with PURIFY

Partial Recovery Bounds for the Sparse Stochastic Block Model

A sparse reconstruction framework for Fourier-based plane wave imaging

Clustering of heterogeneous networks with directional flows based on “Snake” similarities

An Algorithm Architecture Co-Design for CMOS Compressive High Dynamic Range Imaging

Maximally Localized Radial Profiles for Tight Steerable Wavelet Frames

Multi-Label Answer Aggregation for Crowdsourcing

Signal structure: from manifolds to molecules and structured sparsity

Clustering of heterogeneous networks with directional flows based on “Snake” similarities

An Algorithm Architecture Co-Design for CMOS Compressive High Dynamic Range Imaging

Multi-Label Answer Aggregation for Crowdsourcing

Maximally Localized Radial Profiles for Tight Steerable Wavelet Frames

Signal structure: from manifolds to molecules and structured sparsity

200 km Fiber-Loop Conventional Brillouin Distributed Sensor with 2m Spatial Resolution Using Image Denoising

Sampling Sparse Signals on the Sphere: Algorithms and Applications

Robust sparse image reconstruction of radio interferometric observations with PURIFY

Partial Recovery Bounds for the Sparse Stochastic Block Model

A sparse reconstruction framework for Fourier-based plane wave imaging