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On Learning Sparse Structured Input-Output Models

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Inferring Meaning from Questionnaires

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Image Processing Using Spectral Graph Theory

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Fast approximations to nearest subspace search and structured sparse coding, and applications to obj

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Linearity, Nonlinearity and Medical Imaging

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Probabilistic approaches to high order assignment problems

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Geometric invariants in non-rigid models

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A subriemannian model of the primary visual cortex

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Differential Stochastic Sensing: Intrinsic Modeling of Random Time Series with Applications to Nonli

  • Read more about Differential Stochastic Sensing: Intrinsic Modeling of Random Time Series with Applications to Nonli

Detecting Faint Edges in Noisy Images

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