This work addresses the need for stateful dataflow programs that can rapidly sift through huge, evolving data sets. These data-intensive applications perform complex multi-step c...
Dionysios Logothetis, Christopher Olston, Benjamin...
This paper is the third in a series of papers designed to explore how “metaphorical meaning” can be used to support knowledge visualization. Within the present discussion the ...
A methodology is described for synthesizing signal processing networks, which are used to solve a low-cost medical signal processing problem. The approach makes use of genetic alg...
This paper introduces the software framework MMER Lab which allows an effective assembly of modular signal processing systems optimized for memory efficiency and performance. Our...
Many black box optimization algorithms have sufcient exibility to allow them to adapt to the varying circumstances they encounter. These capabilities are of two primary sorts: 1) ...