Abstract. Understanding relationships and commonalities between digital contents based on metadata is a difficult user task that requires sophisticated presentation forms. In this ...
Steffen Lohmann, Philipp Heim, Lena Tetzlaff, Thom...
Abstract. In this paper, we present novel image-derived, invariant features that accurately capture both the geometric and color properties of an imaged object. These features can ...
From cartoons to medical research world, from the field of arts to scientific visualization, everyone related to these areas have been continuously using 3D motion capture data. Qu...
Manoj M. Pawar, Gaurav N. Pradhan, Kang Zhang, Bal...
The paper presents a new visualization approach to support static concept location in source code. The approach is realized through the combination of two existing tools: IRiSS, w...
Spectral analysis approaches have been actively studied in machine learning and data mining areas, due to their generality, efficiency, and rich theoretical foundations. As a natur...
Dijun Luo, Heng Huang, Chris H. Q. Ding, Feiping N...