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» Nomograms for visualizing support vector machines
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ICPR
2010
IEEE
14 years 1 months ago
Exploiting Visual Quasi-Periodicity for Automated Chewing Event Detection Using Active Appearance Models and Support Vector Mach
We present a method that automatically detects chewing events in surveillance video of a subject. Firstly, an Active Appearance Model (AAM) is used to track a subject’s face acr...
Steven Cadavid, Mohamed Abdel-Mottaleb
SAC
2004
ACM
14 years 11 days ago
Multidimensional support vector machines for visualization of gene expression data
Daisuke Komura, Hiroshi Nakamura, Shuichi Tsutsumi...
3DPVT
2006
IEEE
197views Visualization» more  3DPVT 2006»
13 years 10 months ago
Aerial LiDAR Data Classification Using Support Vector Machines (SVM)
We classify 3D aerial LiDAR scattered height data into buildings, trees, roads, and grass using the Support Vector Machine (SVM) algorithm. To do so we use five features: height, ...
Suresh K. Lodha, Edward J. Kreps, David P. Helmbol...
NN
2008
Springer
158views Neural Networks» more  NN 2008»
13 years 6 months ago
Improved mapping of information distribution across the cortical surface with the support vector machine
The early visual cortices represent information of several stimulus attributes, such as orientation and color. To understand the coding mechanisms of these attributes in the brain...
Youping Xiao, Ravi Rao, Guillermo A. Cecchi, Ehud ...
EVOW
2007
Springer
13 years 10 months ago
Classification of Cell Fates with Support Vector Machine Learning
In human mesenchymal stem cells the envelope surrounding the nucleus, as visualized by the nuclear lamina, has a round and flat shape. The lamina structure is considerably deformed...
Ofer M. Shir, Vered Raz, Roeland W. Dirks, Thomas ...