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» Data Mining via Support Vector Machines

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3DPVT
2006
IEEE

197views Visualization» more 3DPVT 2006»

Aerial LiDAR Data Classification Using Support Vector Machines (SVM)

15 years 1 months ago

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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...

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TNN
2010

205views Management» more TNN 2010»

Behavior-constrained support vector machines for fMRI data analysis

14 years 4 months ago

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Statistical learning methods are emerging as a valuable tool for decoding information from neural imaging data. The noisy signal and the limited number of training patterns that ar...

Danmei Chen, Sheng Li, Zoe Kourtzi, Si Wu

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BMCBI
2006

201views more BMCBI 2006»

Gene selection algorithms for microarray data based on least squares support vector machine

14 years 9 months ago

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Background: In discriminant analysis of microarray data, usually a small number of samples are expressed by a large number of genes. It is not only difficult but also unnecessary ...

E. Ke Tang, Ponnuthurai N. Suganthan, Xin Yao

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IJCNN
2006
IEEE

90views Neural Networks» more IJCNN 2006»

Support Vector Machine with Fuzzy Decision-Making for Real-world Data Classification

15 years 3 months ago