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ICDM
2008
IEEE
155views Data Mining» more  ICDM 2008»
14 years 1 months ago
Organic Pie Charts
We present a new visualization of the distance and cluster structure of high dimensional data. It is particularly well suited for analysis tasks of users unfamiliar with complex d...
Fabian Mörchen
CVPR
2007
IEEE
14 years 9 months ago
Polarization and Phase-Shifting for 3D Scanning of Translucent Objects
Translucent objects pose a difficult problem for traditional structured light 3D scanning techniques. Subsurface scattering corrupts the range estimation in two ways: by drastical...
Tongbo Chen, Hendrik P. A. Lensch, Christian Fuchs...
AUSDM
2008
Springer
225views Data Mining» more  AUSDM 2008»
13 years 9 months ago
Evaluation of Malware clustering based on its dynamic behaviour
Malware detection is an important problem today. New malware appears every day and in order to be able to detect it, it is important to recognize families of existing malware. Dat...
Ibai Gurrutxaga, Olatz Arbelaitz, Jesús M. ...
CVPR
2006
IEEE
14 years 9 months ago
Clustering Appearance for Scene Analysis
We propose a new approach called "appearance clustering" for scene analysis. The key idea in this approach is that the scene points can be clustered according to their s...
Sanjeev J. Koppal, Srinivasa G. Narasimhan
TKDE
2002
168views more  TKDE 2002»
13 years 7 months ago
CLARANS: A Method for Clustering Objects for Spatial Data Mining
Spatial data mining is the discovery of interesting relationships and characteristics that may exist implicitly in spatial databases. To this end, this paper has three main contrib...
Raymond T. Ng, Jiawei Han