In this paper we present a method to cluster large datasets that change over time using incremental learning techniques. The approach is based on the dynamic representation of clus...
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
Abstract. One of the more challenging problems faced by the data mining community is that of imbalanced datasets. In imbalanced datasets one class (sometimes severely) outnumbers t...
This paper proposes an objective video quality metric based on an analysis of spatial and temporal distortions. Spatial quality features extracted from the spatiotemporal region o...
—Bandwidth usage has become more complex such that it is not uncommon that multiple signals of appreciable power may be present within the same bandwidth. The presence of multipl...
John Weber, Kyle Kowalske, Clark Robertson, Frank ...