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» Variational Inference for Diffusion Processes
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ICIP
2010
IEEE
13 years 5 months ago
Towards unifying diffusion and exemplar-based inpainting
A novel framework for image inpainting is proposed, relying on graph-based diffusion processes. Depending on the construction of the graph, both flow-based and exemplar-based inpa...
Emmanuel d'Angelo, Pierre Vandergheynst
ICASSP
2010
IEEE
13 years 7 months ago
Fast total variation image restoration with parameter estimation using bayesian inference
In this paper we propose two fast Total Variation (TV) based algorithms for image restoration by utilizing variational posterior distribution approximation. The unknown image and ...
Bruno Amizic, S. Derin Babacan, K. Michael Ng, Raf...
CORR
2011
Springer
172views Education» more  CORR 2011»
12 years 11 months ago
Uncovering the Temporal Dynamics of Diffusion Networks
Time plays an essential role in the diffusion of information, influence and disease over networks. In many cases we only observe when a node copies information, makes a decision ...
Manuel Gomez-Rodriguez, David Balduzzi, Bernhard S...
EMNLP
2010
13 years 5 months ago
Turbo Parsers: Dependency Parsing by Approximate Variational Inference
We present a unified view of two state-of-theart non-projective dependency parsers, both approximate: the loopy belief propagation parser of Smith and Eisner (2008) and the relaxe...
André F. T. Martins, Noah A. Smith, Eric P....
ICIP
2007
IEEE
14 years 9 months ago
P-Laplacian Driven Image Processing
In this work, we take a novel line of approaches to evolve images. It is motivated by the total variation method, known for its denoising and edge-preserving effect. Our approach ...
Arjan Kuijper