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DFT
2005
IEEE
102views VLSI» more  DFT 2005»
13 years 6 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
VTS
2006
IEEE
116views Hardware» more  VTS 2006»
13 years 10 months ago
Combining Linear and Non-Linear Test Vector Compression Using Correlation-Based Rectangular Encoding
A technique is presented here for improving the compression achieved with any linear decompressor by adding a small non-linear decoder that exploits bit-wise and pattern-wise corr...
Jinkyu Lee, Nur A. Touba
ICDCS
2012
IEEE
11 years 7 months ago
Scaling Down Off-the-Shelf Data Compression: Backwards-Compatible Fine-Grain Mixing
—Pu and Singaravelu presented Fine-Grain Mixing, an adaptive compression system which aimed to maximize CPU and network utilization simultaneously by splitting a network stream i...
Michael Gray, Peter Peterson, Peter L. Reiher
AAIM
2006
Springer
143views Algorithms» more  AAIM 2006»
13 years 10 months ago
A Compression-Boosting Transform for Two-Dimensional Data
We introduce a novel invertible transform for two-dimensional data which has the objective of reordering the matrix so it will improve its (lossless) compression at later stages. T...
Qiaofeng Yang, Stefano Lonardi, Avraham Melkman
CVPR
2008
IEEE
14 years 6 months ago
Computing minimal deformations: application to construction of statistical shape models
Nonlinear registration is mostly performed after initialization by a global, linear transformation (in this work, we focus on similarity transformations), computed by a linear reg...
Darko Zikic, Michael Sass Hansen, Ben Glocker, Ali...