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314views
14 years 10 months ago
On the use of discrete Pascal transform in hiding data in images
The Discrete Pascal Transform (DPT) has been proved remarkably useful for edge detection, filter design, discrete-time signal interpolation and data hiding. In the present work a n...
E. E. Varsaki, V. Fotopoulos and A. N. Skodras
126
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GEOS
2009
Springer
15 years 7 months ago
SPARQL Query Re-writing Using Partonomy Based Transformation Rules
Abstract. Often the information present in a spatial knowledge base is represented at a different level of granularity and abstraction than the query constraints. For querying onto...
Prateek Jain, Peter Z. Yeh, Kunal Verma, Cory A. H...
143
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DFT
2005
IEEE
102views VLSI» more  DFT 2005»
15 years 4 months ago
Using Statistical Transformations to Improve Compression for Linear Decompressors
Linear decompressors are the dominant methodology used in commercial test data compression tools. However, they are generally not able to exploit correlations in the test data, an...
Samuel I. Ward, Chris Schattauer, Nur A. Touba
156
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NIPS
2008
15 years 4 months ago
Covariance Estimation for High Dimensional Data Vectors Using the Sparse Matrix Transform
Covariance estimation for high dimensional vectors is a classically difficult problem in statistical analysis and machine learning. In this paper, we propose a maximum likelihood ...
Guangzhi Cao, Charles A. Bouman
124
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DAGM
2010
Springer
15 years 3 months ago
3D Object Detection Using a Fast Voxel-Wise Local Spherical Fourier Tensor Transformation
In this paper we present a novel approach for expanding spherical 3D-tensor fields of arbitrary order in terms of a tensor valued local Fourier basis. For an efficient implementati...
Henrik Skibbe, Marco Reisert, Thorsten Schmidt, Kl...