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» On Pseudoentropy versus Compressibility
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88
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COCO
2004
Springer
79views Algorithms» more  COCO 2004»
15 years 4 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
15 years 4 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
74
Voted
SIGGRAPH
1995
ACM
15 years 2 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»
14 years 10 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
14 years 8 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