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» Linear Time Erasure Codes with Nearly Optimal Recovery (Exte...
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FOCS
1995
IEEE
13 years 8 months ago
Linear Time Erasure Codes with Nearly Optimal Recovery (Extended Abstract)
d Abstract) Noga Alon ∗ Jeff Edmonds † Michael Luby ‡ An (n, c, , r)-erasure code consists of an encoding algorithm and a decoding algorithm with the following properties. ...
Noga Alon, Jeff Edmonds, Michael Luby
ICC
2009
IEEE
166views Communications» more  ICC 2009»
13 years 11 months ago
A Cross-Layer Perspective on Rateless Coding for Wireless Channels
Abstract—Rateless coding ensures reliability by providing everincreasing redundancy, traditionally at the packet level (i.e. the application layer) through erasure coding. This p...
Thomas A. Courtade, Richard D. Wesel
CORR
2010
Springer
128views Education» more  CORR 2010»
13 years 2 months ago
Trajectory Codes for Flash Memory
Abstract--Flash memory is well-known for its inherent asymmetry: the flash-cell charge levels are easy to increase but are hard to decrease. In a general rewriting model, the store...
Anxiao Jiang, Michael Langberg, Moshe Schwartz, Je...
CORR
2011
Springer
243views Education» more  CORR 2011»
12 years 11 months ago
Deterministic Network Model Revisited: An Algebraic Network Coding Approach
Abstract—The capacity of multiuser networks has been a longstanding problem in information theory. Recently, Avestimehr et al. have proposed a deterministic network model to appr...
MinJi Kim, Elona Erez, Edmund M. Yeh, Muriel M&eac...
CORR
2010
Springer
128views Education» more  CORR 2010»
13 years 4 months ago
Sublinear Optimization for Machine Learning
Abstract--We give sublinear-time approximation algorithms for some optimization problems arising in machine learning, such as training linear classifiers and finding minimum enclos...
Kenneth L. Clarkson, Elad Hazan, David P. Woodruff