This paper proposes a novel method of analyzing data to find important information about the context of research papers. The proposed CCTVA (Collecting, Cleaning, Translating, Visu...
— The purpose of this case study is to create a competitive operative management system for efficiency and quality performance for a company running maintenance service business ...
We present a dense 3D correspondence finding method that enables spatio-temporally coherent reconstruction of surface animations from multi-view video data. Given as input a seque...
Naveed Ahmed, Christian Theobalt, Christian Rö...
Graphs capture the essential elements of many problems broadly defined as searching or categorizing. With the rapid increase of data volumes from sensors, many application discipl...
Mining frequent patterns is a major topic in data mining research, resulting in many seminal papers and algorithms on item set and episode discovery. The combination of these, call...