W e present a simple and eficient scheme for using the Set Partitioning in Hierarchical Trees (SPIHT) image compression algorithm [l]in a generalized multiple description framewor...
Agnieszka C. Miguel, Alexander E. Mohr, Eve A. Ris...
This paper presents a new generalized image block coding algorithm which covers fractal techniques, block transform techniques, and vector quantization as its special cases. The c...
Maintaining materialized views that have join conditions between arbitrary pairs of data sources possibly with cycles is critical for many applications. In this work, we model vie...
We show how variational Bayesian inference can be implemented for very large generalized linear models. Our relaxation is proven to be a convex problem for any log-concave model. ...
The problem of learning a transduction, that is a string-to-string mapping, is a common problem arising in natural language processing and computational biology. Previous methods ...