Intelligent GPGPU Classification in Volume Visualization: A framework based on Error-Correcting Output Codes

Author:

Escalera S.,Puig A.,Amoros O.,Salamó M.

Publisher

Wiley

Subject

Computer Graphics and Computer-Aided Design

Reference27 articles.

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2. Allwein E. Schapire R. Singer Y. Reducing multiclass to binary: A unifying approach for margin classifiers JMLR I 2002 113 141

3. Feature emphasis and contextual cutaways for multimodal medical visualization;Burns;Eurographics/IEEE VGTC Symposium on Visualization,May 2007

4. Bajaj C. L. Pascucci V. Schikore D. The contour spectrum IEEE Visualization'97 1997 167 174

5. Dietterich T. Kong E. Error-correcting output codes corrects bias and variance S. Prieditis and S. Russell 1995 Learning P. 313 321

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2. Spatial codification of label predictions in multi‐scale stacked sequential learning: a case study on multi‐class medical volume segmentation;IET Computer Vision;2015-06

3. Box-counting algorithm on GPU and multi-core CPU: an OpenCL cross-platform study;The Journal of Supercomputing;2013-02-01

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