Searching and extracting meaningful information out of highly heterogeneous datasets is a hot topic that received a lot of attention. However, the existing solutions are based on e...
MapReduce has emerged as a promising architecture for large scale data analytics on commodity clusters. The rapid adoption of Hive, a SQL-like data processing language on Hadoop (...
Techniques for generating data structures for isotropic vector matrix grids (or face-centered cubic lattices) are presented. Grid basics and some background mathematical foundation...
Design Rule Checking (DRC) in VLSI design involves checking if a given VLSI layout satisfies a given set of rules, and reporting the violations if any. We propose data structures ...
Manifold learning methods are promising data analysis tools. However, if we locate a new test sample on the manifold, we have to find its embedding by making use of the learned e...