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TSP
2010
14 years 9 months ago
Distributed sampling of signals linked by sparse filtering: theory and applications
We study the distributed sampling and centralized reconstruction of two correlated signals, modeled as the input and output of an unknown sparse filtering operation. This is akin ...
Ali Hormati, Olivier Roy, Yue M. Lu, Martin Vetter...
ICIP
2003
IEEE
16 years 4 months ago
On the Rayleigh nature of Gabor filter outputs
Texture has been recognized as an important visual primitive in image analysis. A widely used texture descriptor, which is part of the MPEG-7 standard, is that computed using mult...
Sitaram Bhagavathy, Jelena Tesic, B. S. Manjunath
ICPR
2004
IEEE
16 years 4 months ago
Filtering with Gray-Code Kernels
In this paper we introduce a family of filter kernels the Gray-Code Kernels (GCK) and demonstrate their use in image analysis. Filtering an image with a sequence of Gray-Code Kern...
Gil Ben-Artzi, Hagit Hel-Or, Yacov Hel-Or
ICDE
2008
IEEE
135views Database» more  ICDE 2008»
16 years 4 months ago
Online Filtering, Smoothing and Probabilistic Modeling of Streaming data
In this paper, we address the problem of extending a relational database system to facilitate efficient real-time application of dynamic probabilistic models to streaming data. he ...
Bhargav Kanagal, Amol Deshpande
PADL
2009
Springer
16 years 3 months ago
Using Bloom Filters for Large Scale Gene Sequence Analysis in Haskell
Analysis of biological data often involves large data sets and computationally expensive algorithms. Databases of biological data continue to grow, leading to an increasing demand ...
Ketil Malde, Bryan O'Sullivan