Sciweavers
Explore
Publications
Books
Software
Tutorials
Presentations
Lectures Notes
Datasets
Labs
Conferences
Community
Upcoming
Conferences
Top Ranked Papers
Most Viewed Conferences
Conferences by Acronym
Conferences by Subject
Conferences by Year
Tools
Sci2ools
International Keyboard
Graphical Social Symbols
CSS3 Style Generator
OCR
Web Page to Image
Web Page to PDF
Merge PDF
Split PDF
Latex Equation Editor
Extract Images from PDF
Convert JPEG to PS
Convert Latex to Word
Convert Word to PDF
Image Converter
PDF Converter
Community
Sciweavers
About
Terms of Use
Privacy Policy
Cookies
Free Online Productivity Tools
i2Speak
i2Symbol
i2OCR
iTex2Img
iWeb2Print
iWeb2Shot
i2Type
iPdf2Split
iPdf2Merge
i2Bopomofo
i2Arabic
i2Style
i2Image
i2PDF
iLatex2Rtf
Sci2ools
26
click to vote
COCO
2004
Springer
favorite
Email
discuss
report
91
views
Algorithms
»
more
COCO 2004
»
Compression of Samplable Sources
14 years 2 months ago
Download
userweb.cs.utexas.edu
We study the compression of polynomially samplable sources. In particular, we give efficient prefix-free compression and decompression algorithms for three classes of such sources (whose support is a subset of {0, 1}n).
Luca Trevisan, Salil P. Vadhan, David Zuckerman
Real-time Traffic
Algorithms
|
COCO 2004
|
Efficient Prefix-free Compression
|
Samplable Sources
|
claim paper
Post Info
More Details (n/a)
Added
20 Aug 2010
Updated
20 Aug 2010
Type
Conference
Year
2004
Where
COCO
Authors
Luca Trevisan, Salil P. Vadhan, David Zuckerman
Comments
(0)
Researcher Info
Algorithms Study Group
Computer Vision