ICDCS
2012
IEEE
12 years 1 months ago
2012
IEEE
—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...
SIGPRO
2010
13 years 9 months ago
2010
: This paper presents a data compression method that can achieve a very large compression ratio for radar pulse trains that are to be used for time-difference-of-arrival/frequency-...
PICS
2001
14 years 24 days ago
2001
The mix raster content (MRC) model can be used to implement highly effective document compression algorithms. However, many MRC based methods which achieve high compression ratio ...
IPCV
2008
14 years 26 days ago
2008
The automatic compression strategy proposed by Gergel et al. is a near-optimal lossy compression scheme for a given collection of images whose interimage relationships are unknown...
ICPR
2010
IEEE
14 years 1 months ago
2010
IEEE
In this paper we investigate the usage of random ortho-projections in the compression of sparse feature vectors. The study is carried out by evaluating the compressed features in ...
DCC
2009
IEEE
14 years 2 months ago
2009
IEEE
In this paper we propose a novel out-of-core technique for progressive lossless compression and selective decompression of 3D triangle meshes larger than main memory. Most existin...
ICVS
1999
Springer
14 years 3 months ago
1999
Springer
While computing power and transmission bandwidth have both been steadily increasing over the last few years, bandwidth rather than processing power remains the primary bottleneck f...
DCC
2000
IEEE
14 years 3 months ago
2000
IEEE
We present a novel algorithm that assigns codes to instructions during instruction code compression in order to minimize bus-related bit-toggling and thus reducing power consumpti...
DATE
2003
IEEE
14 years 4 months ago
2003
IEEE
Reduction of both the test suite size and the download time of test vectors is important in today's System-On-a-Chip designs. In this paper, a method for compressing the scan...
ISNN
2007
Springer
14 years 5 months ago
2007
Springer
Bayesian subspace analysis (BSA) has been successfully applied in data mining and pattern recognition. However, due to the use of probabilistic measure of similarity, it often need...