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  1. Courses
  2. 2017 SIAM Annual Meeting
  3. Boosting and Learning in Ma...

Boosting and Learning in Mathematical Imaging Algorithms - Part II of II

AN17 - MS75-1: Low Dimensional Manifold Model for Image Processing

Presentation: Wei Zhu, University of California, Los Angeles, USA, 26 min 32 sec

AN17 - MS75-1: Low Dimensional Manifold Model for Image Processing

Document: AN17 - MS75-1: Low Dimensional Manifold Model for Image Processing(PDF)

AN17 - MS75-2: Learning Filter Functions in Regularisers by Minimising Quotients

Presentation: Carola-Bibiane Schönlieb, University of Cambridge, United Kingdom, 28 min 34 sec

AN17 - MS75-2: Learning Filter Functions in Regularisers by Minimising Quotients

Document: AN17 - MS75-2: Learning Filter Functions in Regularisers by Minimising Quotients(PDF)

AN17 - MS75-4: High-Dimensional Mixture Models for Unsupervised Image Denoising (HDMI)

Presentation: Antoine Houdard, Télécom ParisTech, France, 29 min 1 sec

AN17 - MS75-4: High-Dimensional Mixture Models for Unsupervised Image Denoising (HDMI)

Document: AN17 - MS75-4: High-Dimensional Mixture Models for Unsupervised Image Denoising (HDMI)(PDF)
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