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» On Pseudoentropy versus Compressibility
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COCO
2004
Springer
79views Algorithms» more  COCO 2004»
13 years 10 months ago
On Pseudoentropy versus Compressibility
A source is compressible if we can efficiently compute short descriptions of strings in the support and efficiently recover the strings from the descriptions. A source has high ps...
Hoeteck Wee
EUROCRYPT
2007
Springer
13 years 10 months ago
Conditional Computational Entropy, or Toward Separating Pseudoentropy from Compressibility
We study conditional computational entropy: the amount of randomness a distribution appears to have to a computationally bounded observer who is given some correlated information....
Chun-Yuan Hsiao, Chi-Jen Lu, Leonid Reyzin
SIGGRAPH
1995
ACM
13 years 8 months ago
Polygon-assisted JPEG and MPEG compression of synthetic images
Recent advances in realtime image compression and decompression hardware make it possible for a high-performance graphics engine to operate as a rendering server in a networked en...
Marc Levoy
CORR
2004
Springer
110views Education» more  CORR 2004»
13 years 4 months ago
Shannon Information and Kolmogorov Complexity
The elementary theories of Shannon information and Kolmogorov complexity are cmpared, the extent to which they have a common purpose, and where they are fundamentally different. T...
Peter Grünwald, Paul M. B. Vitányi
EMNLP
2009
13 years 2 months ago
A Comparison of Model Free versus Model Intensive Approaches to Sentence Compression
This work introduces a model free approach to sentence compression, which grew out of ideas from Nomoto (2008), and examines how it compares to a state-of-art model intensive appr...
Tadashi Nomoto