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ICCV
2009
IEEE
1318views Computer Vision» more  ICCV 2009»
15 years 2 months ago
Non-Local Sparse Models for Image Restoration
We propose in this paper to unify two different ap- proaches to image restoration: On the one hand, learning a basis set (dictionary) adapted to sparse signal descriptions has p...
Julien Mairal, Francis Bach, Jean Ponce, Guillermo...
CVPR
2006
IEEE
14 years 3 months ago
Motion Patterns: High-Level Representation of Natural Video Sequences
This work investigates the use of nonlinear dependencies in natural image sequence statistics to learn higher-order structures in natural videos. We propose a two-layer model that...
Duangmanee Putthividhya, Te-Won Lee
VLSM
2005
Springer
14 years 3 months ago
Entropy Controlled Gauss-Markov Random Measure Field Models for Early Vision
We present a computationally efficient segmentationrestoration method, based on a probabilistic formulation, for the joint estimation of the label map (segmentation) and the para...
Mariano Rivera, Omar Ocegueda, José L. Marr...
NIPS
2003
13 years 11 months ago
Probabilistic Inference of Speech Signals from Phaseless Spectrograms
Many techniques for complex speech processing such as denoising and deconvolution, time/frequency warping, multiple speaker separation, and multiple microphone analysis operate on...
Kannan Achan, Sam T. Roweis, Brendan J. Frey
DAGM
2010
Springer
13 years 11 months ago
Exploiting Redundancy for Aerial Image Fusion Using Convex Optimization
Abstract. Image fusion in high-resolution aerial imagery poses a challenging problem due to fine details and complex textures. In particular, color image fusion by using virtual or...
Stefan Kluckner, Thomas Pock, Horst Bischof