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CORR
2010
Springer
97views Education» more  CORR 2010»
13 years 2 months ago
On the Scaling Law for Compressive Sensing and its Applications
1 minimization can be used to recover sufficiently sparse unknown signals from compressed linear measurements. In fact, exact thresholds on the sparsity, as a function of the ratio...
Weiyu Xu, Ao Tang
ICIP
2007
IEEE
14 years 7 months ago
Compressed Sensing Image Reconstruction Via Recursive Spatially Adaptive Filtering
We introduce a new approach to image reconstruction from highly incomplete data. The available data are assumed to be a small collection of spectral coef?cients of an arbitrary li...
Karen O. Egiazarian, Alessandro Foi, Vladimir Katk...
AIPS
2008
13 years 7 months ago
Exact Dynamic Programming for Decentralized POMDPs with Lossless Policy Compression
High dimensionality of belief space in DEC-POMDPs is one of the major causes that makes the optimal joint policy computation intractable. The belief state for a given agent is a p...
Abdeslam Boularias, Brahim Chaib-draa
ICIP
2000
IEEE
14 years 7 months ago
Geometric and Topological Lossy Compression of Dense Range Images
This paper presents a technique for lossy compression of dense range images. Two separate compression schemes are applied. The first scheme (geometric compression) reduces redunda...
Angel Domingo Sappa, Boris Xavier Vintimilla, Migu...
FUIN
1998
135views more  FUIN 1998»
13 years 5 months ago
A Study on Partitioned Iterative Function Systems for Image Compression
The technique of image compression using Iterative Function System (IFS) is known as fractal image compression. An extension of IFS theory is called as Partitioned or local Iterati...
Suman K. Mitra, C. A. Murthy, Malay Kumar Kundu