Automated feature discovery is a fundamental problem in machine learning. Although classical feature discovery methods do not guarantee optimal solutions in general, it has been r...
We revisit the construction of high noise, almost optimal rate list decodable code of Guruswami [1]. Guruswami showed that if one can explicitly construct optimal extractors then o...
We propose a method for compressing programs in embedded processors where instruction memory size dominates cost. A post-compilation analyzer examines a program and replaces commo...
Charles Lefurgy, Peter L. Bird, I-Cheng K. Chen, T...
The major advantage of vector representation of an image is that the image quality is maintained for arbitrary scaling. In recent years, a demand for scalable image coding has bee...
Trace-based compilation is a promising technique for language compilers and binary translators. It offers the potential to expand the compilation scopes that have traditionally be...