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VLDB
1987
ACM
66views Database» more  VLDB 1987»
13 years 10 months ago
A New Compression Method with Fast Searching on Large Databases
In this paper, a new compression method for constant removal from very large scientific and statistical databases is presented. The new method combines the best features from seve...
Jianzhong Li, Doron Rotem, Harry K. T. Wong
ICIP
2003
IEEE
14 years 9 months ago
Image compression with on-line and off-line learning
Images typically contain smooth regions, which are easily compressed by linear transforms, and high activity regions (edges, textures), which are harder to compress. To compress t...
Patrice Y. Simard, Christopher J. C. Burges, David...
ICIP
2001
IEEE
14 years 9 months ago
Application of the motion vector constraint to the regularized enhancement of compressed video
In this paper, we present a novel fidelity constraint for the image enhancement problem by exploiting the motion vectors of a compressed video bit-stream. These vectors establish ...
C. Andrew Segall, Aggelos K. Katsaggelos
ISCA
1998
IEEE
135views Hardware» more  ISCA 1998»
13 years 11 months ago
Branch Prediction Based on Universal Data Compression Algorithms
Data compression and prediction are closely related. Thus prediction methods based on data compression algorithms have been suggested for the branch prediction problem. In this wo...
Eitan Federovsky, Meir Feder, Shlomo Weiss
LPAR
2005
Springer
14 years 25 days ago
Matching with Regular Constraints
We describe a sound, terminating, and complete matching algorithm for terms built over flexible arity function symbols and context, function, sequence, and individual variables. C...
Temur Kutsia, Mircea Marin