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TIP
2010
128views more  TIP 2010»
13 years 7 months ago
Variational Bayesian Image Restoration With a Product of Spatially Weighted Total Variation Image Priors
—In this paper a new image prior is introduced and used in image restoration. This prior is based on products of spatially weighted Total Variations (TV). These spatial weights p...
Giannis K. Chantas, Nikolas P. Galatsanos, Rafael ...
GANDC
2011
93views more  GANDC 2011»
12 years 8 months ago
Bayesian spatial modeling and interpolation using copulas
Copulas have attracted much attention in spatial statistics over the past few years. They are used as a flexible alternative to traditional methods for nonGaussian spatial modelin...
Hannes Kazianka, Jürgen Pilz
DEXA
2008
Springer
154views Database» more  DEXA 2008»
13 years 10 months ago
Approximate Range-Sum Queries over Data Cubes Using Cosine Transform
In this research, we propose to use the discrete cosine transform to approximate the cumulative distributions of data cube cells' values. The cosine transform is known to have...
Wen-Chi Hou, Cheng Luo, Zhewei Jiang, Feng Yan, Qi...
ICIP
2007
IEEE
14 years 10 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...
EMNLP
2011
12 years 8 months ago
Approximate Scalable Bounded Space Sketch for Large Data NLP
We exploit sketch techniques, especially the Count-Min sketch, a memory, and time efficient framework which approximates the frequency of a word pair in the corpus without explic...
Amit Goyal, Hal Daumé III