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Titel/AutorZitiert von Jahr
Block-coordinate Frank-Wolfe optimization for structural SVMs
S Lacoste-Julien, M Jaggi, M Schmidt, P Pletscher
ICML
392013
Competitive baseline methods set new standards for the NIPS 2003 feature selection benchmark
I Guyon, J Li, T Mader, PA Pletscher, G Schneider, M Uhr
Pattern recognition letters 28 (12), 1438-1444
272007
Entropy and margin maximization for structured output learning
P Pletscher, C Ong, J Buhmann
European Conference on Machine Learning and Knowledge Discovery in Databases ...
192010
Learning low-order models for enforcing high-order statistics
P Pletscher, P Kohli
AISTATS
142012
A conditional random field for automatic photo editing
M Brand, P Pletscher
Conferencer on Computer Vision and Pattern Recognition (CVPR)
112008
Feature selection with the CLOP package
I Guyon, J Li, T Mader, PA Pletscher, G Schneider, M Uhr
Technical Report. http://clopinet. com/isabelle/Projects/ETH/TM-fextract ...
102006
Putting MAP back on the map
P Pletscher, S Nowozin, P Kohli, C Rother
Annual Symposium of the German Association for Pattern Recognition (DAGM ...
82011
Spanning tree approximations for conditional random fields
P Pletscher, CS Ong, J Buhmann
International Conference on Artificial Intelligence and Statistics (AISTATS ...
82009
Adaptive security of compositions
P Pletscher
Semester Thesis. Advisors K. Pietrzak and U. Maurer
32005
LPQP for MAP: Putting LP Solvers to Better Use
P Pletscher, S Wulff
ICML
22012
Teaching machine learning from examples
I Guyon, J Li, T Mader, P Pletscher, G Schneider, M Uhr
12006
Method and apparatus for touching-up images
ME Brand, P Pletscher
US Patent 8,160,396
2012
Towards accurate structured output learning and prediction
P Pletscher
Diss., Eidgenössische Technische Hochschule ETH
2012
Part & Clamp: An efficient algorithm for structured output learning
P Pletscher, CS Ong
Proceedings of the Fifteenth International Conference on Artificial ...
2012
Block-Coordinate Frank-Wolfe for Structural SVMs
M Jaggi, S Lacoste-Julien, M Schmidt, P Pletscher
NIPS Workshop on Optimization for Machine Learning
2012
A Combined LP and QP Relaxation for MAP
P Pletscher, S Wulff
NIPS Workshop on Discrete Optimization in Machine Learning (DISCML)
2011
1-16
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