Sparse coding--that is, modelling data vectors as sparse linear combinations of basis elements--is widely used in machine learning, neuroscience, signal processing, and statistics...
Julien Mairal, Francis Bach, Jean Ponce, Guillermo...
We have implemented a package that transforms concise algebraic descriptions of linear block codes into finite automata representations, and also generates decoders from such repre...
Priti Shankar, K. Sasidharan, Vikas Aggarwal, B. S...
Fix positive integers B and w. Let C be a linear code over F2 of length Bw. The 2-regular-decoding problem is to find a nonzero codeword consisting of w length-B blocks, each of w...
Daniel J. Bernstein, Tanja Lange, Christiane Peter...
In addition to real-time requirements, the program code size is a critical design factor for real-time embedded systems. To take advantage of the code size vs. execution time trad...
Sipser and Spielman have introduced a constructive family of asymptotically good linear error-correcting codes--expander codes--together with a simple parallel algorithm that will ...