Dimensionality reduction is a commonly used step in many algorithms for visualization, classification, clustering and modeling. Most dimensionality reduction algorithms find a low...
ct 9 It is often useful to know the positions of nodes in a network. However, in a large network it is impractical to build a 10 single global map. In this paper, we present a new ...
When tracking a target using phase-only signal returns, range ambiguities are a major issue. In this work, a look-up table between phase measurement space and target location spac...
Yongqiang Cheng, Xuezhi Wang, Terry Caelli, Bill M...
This paper describes a local ensemble kernel learning technique to recognize/classify objects from a large number of diverse categories. Due to the possibly large intraclass featu...
Value locality, a recently discovered program attribute that describes the likelihood of the recurrence of previously-seen program values, has been studied enthusiastically in the...