Manifold learning can discover the structure of high dimensional data and provides understanding of multidimensional patterns by preserving the local geometric characteristics. Ho...
Abstract-- We address the problem of batching messages generated at nodes of a sensor network for the purpose of reducing communication energy at the expense of added latency. We f...
This paper describes some of the novel technologies adopted in the realization of the NASA Dual-frequency Dualpolarized Doppler Radar (D3R) system for to be used by the GPM ground...
Manuel Vega, James Carswell, V. Chandrasekar, Math...
Virtually every commercial query optimizer chooses the best plan for a query using a cost model that relies heavily on accurate cardinality estimation. Cardinality estimation erro...
Volker Markl, Vijayshankar Raman, David E. Simmen,...
Abstract—Multicast-based network tomography enables inference of average loss rates and delay distributions of internal network links from end-to-end measurements of multicast pr...