We developed a novel analytical environment to aid in the examination of the extensive amount of interconnected data available for genome projects. Our focus is to enable ity and ...
Pablo N. Mendes, Bobby McKnight, Amit P. Sheth, Je...
Dimensionality reduction plays a fundamental role in data processing, for which principal component analysis (PCA) is widely used. In this paper, we develop the Laplacian PCA (LPC...
In our previous work we presented a new 2D-3D mixed face recognition scheme called Partial Principal Component Analysis (P2 CA) [1]. The main contribution of P2 CA is that it uses...
DeepWeaver-1 is a tool supporting cross-cutting program analysis and transformation components, called “weaves”. Like an aspect, a DeepWeaver weave consists of a query part, an...
Henry Falconer, Paul H. J. Kelly, David M. Ingram,...
In this paper we present a novel method for reducing false positives in breast mass detection. Our approach is based on using the Two-Dimensional Principal Component Analysis (2DPC...