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97
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TITB
2008
102views more  TITB 2008»
14 years 10 months ago
Nonlinear Support Vector Machine Visualization for Risk Factor Analysis Using Nomograms and Localized Radial Basis Function Kern
Nonlinear classifiers, e.g., support vector machines (SVMs) with radial basis function (RBF) kernels, have been used widely for automatic diagnosis of diseases because of their hig...
Baek Hwan Cho, Hwanjo Yu, Jong Shill Lee, Young Jo...
KDD
2004
ACM
210views Data Mining» more  KDD 2004»
15 years 11 months ago
Visually mining and monitoring massive time series
Moments before the launch of every space vehicle, engineering discipline specialists must make a critical go/no-go decision. The cost of a false positive, allowing a launch in spi...
Jessica Lin, Eamonn J. Keogh, Stefano Lonardi, Jef...
85
Voted
CIVR
2009
Springer
147views Image Analysis» more  CIVR 2009»
15 years 5 months ago
Integrating visual and semantic contexts for topic network generation and word sense disambiguation
To support more effective searches in large-scale weaklytagged image collections, we have developed a novel algorithm to integrate both the visual similarity contexts between the...
Jianping Fan, Hangzai Luo, Yi Shen, Chunlei Yang
80
Voted
INFOVIS
2005
IEEE
15 years 4 months ago
The Visual Code Navigator: An Interactive Toolset for Source Code Investigation
We present the Visual Code Navigator, a set of three interrelated visual tools that we developed for exploring large source code software projects from three different perspective...
Gerard Lommerse, Freek Nossin, Lucian Voinea, Alex...
97
Voted
ICDM
2003
IEEE
92views Data Mining» more  ICDM 2003»
15 years 4 months ago
Validating and Refining Clusters via Visual Rendering
Clustering is an important technique for understanding and analysis of large multi-dimensional datasets in many scientific applications. Most of clustering research to date has be...
Keke Chen, Ling Liu