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» Challenges in Visual Data Analysis
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ML
2010
ACM
193views Machine Learning» more  ML 2010»
15 years 1 months ago
On the eigenvectors of p-Laplacian
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...
GIS
2002
ACM
15 years 6 months ago
Remote access to large spatial databases
Enterprises in the public and private sectors have been making their large spatial data archives available over the Internet. However, interactive work with such large volumes of ...
Egemen Tanin, Frantisek Brabec, Hanan Samet
JCIT
2010
184views more  JCIT 2010»
15 years 1 months ago
A Cell Projection Algorithm Based on Feature Region Segmentation and Cells Sorting
Because of the complexity of the human structure, and the irregularity of the human tissues, and the discrepancy of human individuality, segmenting and rendering 3D medical data f...
Li Xinwu
QEST
2009
IEEE
16 years 1 months ago
Recent Extensions to Traviando
—Traviando is a trace analyzer and visualizer for simulation traces of discrete event dynamic systems. In this paper, we briefly outline recent extensions of Traviando towards a...
Peter Kemper
CIKM
2009
Springer
15 years 10 months ago
Terminology mining in social media
The highly variable and dynamic word usage in social media presents serious challenges for both research and those commercial applications that are geared towards blogs or other u...
Magnus Sahlgren, Jussi Karlgren