This paper presents a novel landmark-based shape deformation method. This method effectively solves two problems inherent in landmark-based shape deformation: (a) identification o...
Background: Complex biological database systems have become key computational tools used daily by scientists and researchers. Many of these systems must be capable of executing on...
Marko Srdanovic, Ulf Schenk, Michael Schwieger, Fa...
We develop a high dimensional nonparametric classification method named sparse additive machine (SAM), which can be viewed as a functional version of support vector machine (SVM)...
Accurately evaluating statistical independence among random variables is a key element of Independent Component Analysis (ICA). In this paper, we employ a squared-loss variant of ...
Software continually changes due to performance improvements, new requirements, bug fixes, and adaptation to a changing operational environment. Common changes include modificatio...
Sunghun Kim, E. James Whitehead Jr., Jennifer Beva...