Growing demand for high performance in embedded systems is creating new opportunities for Instruction-Level Parallelism ILP techniques that are traditionally used in high perform...
Daniel A. Connors, Jean-Michel Puiatti, David I. A...
We present a new approach, called local discriminant embedding (LDE), to manifold learning and pattern classification. In our framework, the neighbor and class relations of data a...
We consider the problem of classification of a pattern from multiple compressed observations that are collected in a sensor network. In particular, we exploit the properties of r...
Embedded systems often have limited amounts of available memory, thus encouraging the development of compact programs. This paper presents a link-time program compactor for the emb...
Matias Madou, Bjorn De Sutter, Bruno De Bus, Ludo ...
Internet coordinate systems embed Round-Trip-Times (RTTs) between Internet nodes into some geometric space so that unmeasured RTTs can be estimated using distance computation in t...
Eng Keong Lua, Timothy G. Griffin, Marcelo Pias, H...