A greedy algorithm for the construction of a reduced model with reduction in both parameter and state is developed for efficient solution of statistical inverse problems governed b...
DimStiller is a system for dimensionality reduction and analysis. It frames the task of understanding and transforming input dimensions as a series of analysis steps where users t...
Stephen Ingram, Tamara Munzner, Veronika Irvine, M...
As interconnect feature sizes continue to scale to smaller dimensions, long interconnect can dominate the IC timing performance, but the interconnect parameter variations make it ...
Ying Liu, Lawrence T. Pileggi, Andrzej J. Strojwas
This paper discusses the topic of dimensionality reduction for k-means clustering. We prove that any set of n points in d dimensions (rows in a matrix A ∈ Rn×d ) can be project...
Keeping the test databases as small as possible leads to faster execution of tests and facilitates the task of completing the test cases and evaluating the actual outputs against ...