: Laplacian Linear Discriminant Analysis (LapLDA) and Semi-supervised Discriminant Analysis (SDA) are two recently proposed LDA methods. They are developed independently with the a...
Scalable similarity search is the core of many large scale learning or data mining applications. Recently, many research results demonstrate that one promising approach is creatin...
Despite advances in the application of automated statistical and machine learning techniques to system log and trace data there will always be a need for human analysis of machine...
—In an n-way broadcast application, each one of n overlay nodes wants to push its own distinct large data file to all other n À 1 destinations as well as download their respecti...
Georgios Smaragdakis, Nikolaos Laoutaris, Pietro M...
— This paper presents topology-based methods to robustly extract, analyze, and track features defined as subsets of isosurfaces. First, we demonstrate how features identified b...
Peer-Timo Bremer, Gunther H. Weber, Valerio Pascuc...