( en | de | ru )

 

Disambiguation

From post

копироватьудалитьдобавить публикацию в буфер
Prediction of scoliosis curve type based on the analysis of trunk surface topography.

, , , , и . ISBI, стр. 408-411. IEEE, (2010)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed.

Mathias M Lang

Mathias M Knauf

Mathias M Knauf

Simon M M Laimer

M. Biswas M. Dam

 

Другие публикации лиц с тем же именем

Prediction of scoliosis curve type based on the analysis of trunk surface topography., , , , и . ISBI, стр. 408-411. IEEE, (2010)Help-training for semi-supervised discriminative classifiers. Application to SVM., и . ICPR, стр. 1-4. IEEE Computer Society, (2008)Learning Semi-supervised SVM with Genetic Algorithm., и . IJCNN, стр. 1825-1830. IEEE, (2007)Analysis of scoliosis trunk deformities using ICA., , , и . ISSPA, стр. 187-192. IEEE, (2012)New Formulation of SVM for Model Selection., и . IJCNN, стр. 1900-1907. IEEE, (2006)Help-training semi-supervised LS-SVM., и . IJCNN, стр. 49-56. IEEE Computer Society, (2009)Scoliosis curve type classification using kernel machine from 3D trunk image., , , , и . Medical Imaging: Computer-Aided Diagnosis, том 8315 из SPIE Proceedings, стр. 831514. SPIE, (2012)IBN SINA: a database for research on processing and understanding of Arabic manuscripts images., , , , и . Document Analysis Systems, стр. 11-18. ACM, (2010)Non invasive classification system of scoliosis curve types using least-squares support vector machines., , , и . Artif. Intell. Medicine, 56 (2): 99-107 (2012)Towards Non Invasive Diagnosis of Scoliosis Using Semi-supervised Learning Approach., , , , и . ICIAR (2), том 6112 из Lecture Notes in Computer Science, стр. 10-19. Springer, (2010)