Julia Neumann (Selection)

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8 Gabriele Steidl, Stephan Didas, Julia Neumann: Splines in Higher Order TV Regularization. International Journal of Computer Vision 70(3): 241-255 (2006)

7 Gabriele Steidl, Stephan Didas, Julia Neumann: Relations Between Higher Order TV Regularization and Support Vector Regression. Scale-Space 2005: 515-527

6 Julia Neumann, Christoph Schnörr, Gabriele Steidl: Combined SVM-Based Feature Selection and Classification. Machine Learning 61(1-3): 129-150 (2005)

5 Julia Neumann, Christoph Schnörr, Gabriele Steidl: Efficient wavelet adaptation for hybrid wavelet-large margin classifiers. Pattern Recognition 38(11): 1815-1830 (2005)

4 Julia Neumann, Christoph Schnörr, Gabriele Steidl: SVM-Based Feature Selection by Direct Objective Minimisation. DAGM-Symposium 2004: 212-219

3 Julia Neumann, Christoph Schnörr, Gabriele Steidl: Feasible Adaptation Criteria for Hybrid Wavelet - Large Margin Classifiers. CAIP 2003: 588-595

Selection of 6 from 8 records - Julia Neumann has 9 coauthors

8		Gabriele Steidl, Stephan Didas, Julia Neumann: Splines in Higher Order TV Regularization. International Journal of Computer Vision 70(3): 241-255 (2006)
7		Gabriele Steidl, Stephan Didas, Julia Neumann: Relations Between Higher Order TV Regularization and Support Vector Regression. Scale-Space 2005: 515-527
6		Julia Neumann, Christoph Schnörr, Gabriele Steidl: Combined SVM-Based Feature Selection and Classification. Machine Learning 61(1-3): 129-150 (2005)
5		Julia Neumann, Christoph Schnörr, Gabriele Steidl: Efficient wavelet adaptation for hybrid wavelet-large margin classifiers. Pattern Recognition 38(11): 1815-1830 (2005)
4		Julia Neumann, Christoph Schnörr, Gabriele Steidl: SVM-Based Feature Selection by Direct Objective Minimisation. DAGM-Symposium 2004: 212-219
3		Julia Neumann, Christoph Schnörr, Gabriele Steidl: Feasible Adaptation Criteria for Hybrid Wavelet - Large Margin Classifiers. CAIP 2003: 588-595