Publications associées à Optimal image alignment with random projections of manifolds: algorithm and geometric analysis

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To Convexify or Not? Regression with Clustering Penalties on Graphs

Volkan Cevher, Luca Baldassarre, Marwa El Halabi

We consider minimization problems that are compositions of convex functions of a vector

\x \in\reals^N

with submodular set functions of its support (i.e., indices of the non-zero coefficients of

\x

). Such problems are in general difficult for large

N

...

IEEE2013

Optimal image alignment with random projections of manifolds: algorithm and geometric analysis

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Chattez avec Graph Search

Learning Smooth Pattern Transformation Manifolds

Geometric Variational Models for Inverse Problems in Imaging

An Iterative Linear Expansion of Thresholds for l1-based Image Restoration

Non-convex optimization for robust multi-view imaging

Non-convex optimization for robust multi-view imaging

Stochastic Exploration of Ambiguities for Non-Rigid Shape Recovery

Multichannel Blind Deconvolution Using Low-rank and Sparse Decomposition

Classification of urban multi-angular image sequences by aligning their manifolds

Exploring Local Modifications for Constrained Meshes

To Convexify or Not? Regression with Clustering Penalties on Graphs

An Iterative Linear Expansion of Thresholds for l1-based Image Restoration

Geometric Variational Models for Inverse Problems in Imaging

Non-convex optimization for robust multi-view imaging

Exploring Local Modifications for Constrained Meshes

To Convexify or Not? Regression with Clustering Penalties on Graphs

Stochastic Exploration of Ambiguities for Non-Rigid Shape Recovery

Multichannel Blind Deconvolution Using Low-rank and Sparse Decomposition

Learning Smooth Pattern Transformation Manifolds

Non-convex optimization for robust multi-view imaging

Classification of urban multi-angular image sequences by aligning their manifolds