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» Measuring the Complexity of Classification Problems
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ICASSP
2011
IEEE
12 years 12 months ago
Sparse common spatial patterns in brain computer interface applications
The Common Spatial Pattern (CSP) method is a powerful technique for feature extraction from multichannel neural activity and widely used in brain computer interface (BCI) applicat...
Fikri Goksu, Nuri Firat Ince, Ahmed H. Tewfik
VIS
2007
IEEE
169views Visualization» more  VIS 2007»
14 years 9 months ago
Transform Coding for Hardware-accelerated Volume Rendering
Hardware-accelerated volume rendering using the GPU is now the standard approach for real-time volume rendering, although limited graphics memory can present a problem when renderi...
Nathaniel Fout, Kwan-Liu Ma
KDD
2002
ACM
160views Data Mining» more  KDD 2002»
14 years 8 months ago
Scaling multi-class support vector machines using inter-class confusion
Support vector machines (SVMs) excel at two-class discriminative learning problems. They often outperform generative classifiers, especially those that use inaccurate generative m...
Shantanu Godbole, Sunita Sarawagi, Soumen Chakraba...
ICDM
2006
IEEE
135views Data Mining» more  ICDM 2006»
14 years 2 months ago
SAXually Explicit Images: Finding Unusual Shapes
Among the visual features of multimedia content, shape is of particular interest because humans can often recognize objects solely on the basis of shape. Over the past three decad...
Li Wei, Eamonn J. Keogh, Xiaopeng Xi
VISUALIZATION
1999
IEEE
14 years 13 days ago
Tensorlines: Advection-Diffusion Based Propagation through Diffusion Tensor Fields
Tracking linear features through tensor field datasets is an open research problem with widespread utility in medical and engineering disciplines. Existing tracking methods, which...
David M. Weinstein, Gordon L. Kindlmann, Eric C. L...