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PAMI
1998
141views more  PAMI 1998»
15 years 3 months ago
A Probabilistic Approach to the Coupled Reconstruction and Restoration of Underwater Acoustic Images
—This paper describes a probabilistic technique for the coupled reconstruction and restoration of underwater acoustic images. The technique is founded on the physics of the image...
Vittorio Murino, Andrea Trucco, Carlo S. Regazzoni
UAI
2008
15 years 5 months ago
Projected Subgradient Methods for Learning Sparse Gaussians
Gaussian Markov random fields (GMRFs) are useful in a broad range of applications. In this paper we tackle the problem of learning a sparse GMRF in a high-dimensional space. Our a...
John Duchi, Stephen Gould, Daphne Koller
119
Voted
CVPR
2008
IEEE
16 years 5 months ago
Simultaneous image transformation and sparse representation recovery
Sparse representation in compressive sensing is gaining increasing attention due to its success in various applications. As we demonstrate in this paper, however, image sparse rep...
Junzhou Huang, Xiaolei Huang, Dimitris N. Metaxas
ICIP
2006
IEEE
16 years 5 months ago
Denoising Archival Films using a Learned Bayesian Model
We develop a Bayesian model of digitized archival films and use this for denoising, or more specifically de-graining, individual frames. In contrast to previous approaches our mod...
Teodor Mihai Moldovan, Stefan Roth, Michael J. Bla...
VIS
2004
IEEE
169views Visualization» more  VIS 2004»
16 years 5 months ago
Rendering Implicit Flow Volumes
Traditional flow volumes construct an explicit geometrical or parametrical representation from the vector field. The geometry is updated interactively and then rendered using an u...
Daqing Xue, Caixia Zhang, Roger Crawfis